JP4608381B2 - Project evaluation system, project evaluation method, and project evaluation program - Google Patents

Description

  The present invention relates to a technique for evaluating the effectiveness of a project by evaluating the effectiveness of information acquired by the project.

  In Patent Document 1, a financial structure composed of a plurality of structures can be easily constructed, and factor items that affect the plurality of financial structures can be easily reflected, so that factor items related to the financial structures can be reflected. A technology that can clarify the impact of the impact on the entire business (project) is disclosed.

JP 2004-302722 A

  However, when the business (project) is evaluated in advance as in the technique described in Patent Document 1, the business (project) is evaluated based on the financial structure such as profit / loss, lending, cash flow, etc. A lot of useful information can be obtained, but we could not correctly evaluate the low profitability business.

  Then, an object of this invention is to provide the technique which can evaluate the effectiveness of a project based on the information obtained by implementing a project.

  In order to solve the above problems, the present invention calculates the evaluation value quantitatively from the structural aspect and the content aspect regarding the information obtained by carrying out the project, and obtains all of the information obtained by carrying out the project. By summing up the evaluation values for information, the effectiveness of projects that can obtain such information can be quantitatively evaluated based on the total values.

  For example, the project evaluation system according to the present invention is for inputting predetermined information into an existing information content evaluation item for performing evaluation on the content of the existing information with respect to existing information already acquired before the project is implemented. Acquisition information structure evaluation items for evaluating the structure of the acquired information and acquired information for evaluating the contents of the acquired information for the existing information input file and the acquired information acquired by executing the project An acquisition information input file for inputting predetermined information to a content evaluation item, and each acquisition information based on information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item Storage means for storing calculation formula information for calculating the evaluation value of the existing information input file And an input means for inputting predetermined information to the acquired information input file, and the arithmetic expression information based on the information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item And an arithmetic processing means for calculating an evaluation value for each acquired information.

  As described above, according to the present invention, it is possible to quantitatively grasp the usefulness of information acquired by executing a project regardless of the financial structure, so that the effectiveness of the project is easily evaluated. be able to.

  FIG. 1 is a schematic configuration diagram of a project evaluation system 100 according to an embodiment of the present invention.

  The project evaluation system 100 includes an existing information input file storage unit 101, an existing information tree generation unit 102, an existing information tree display unit 103, an acquisition information input file storage unit 104, an acquisition information tree generation unit 105, and acquisition information. Tree display unit 106, utilization information input file storage unit 107, decline information input file storage unit 108, variation information input file storage unit 109, representative value input file storage unit 110, coefficient information input file storage unit 108 An input unit 112, an arithmetic expression information storage unit 113, an evaluation value calculation unit 114, an overall evaluation value calculation unit 115, an evaluation result file storage unit 116, and an evaluation result display unit 117.

  First, a tree structure which is a premise of the present invention will be described.

  In the present invention, the existing information held before the project is implemented and the acquired information acquired by executing the project are grasped by a tree structure divided into hierarchies as shown in FIG.

  First, as shown in FIG. 2A, the existing information is divided into level 1, level 2 and level 3 hierarchies. Level 1 is a major item and is the highest level concept positioned at the highest level. Level 2 is a middle item included in the major items of level 1, and is a middle level concept that further embodies the top level concept of level 1. Level 3 is a small item that more specifically embodies level 2, which is a middle item, and is a subordinate concept that more specifically embodies the intermediate concept of level 2.

  In such a hierarchy, when existing information included in each hierarchy has relevance, the related existing information is lined up so that the related situation can be easily grasped. They are classified so as to form a so-called tree structure.

  For example, as shown in FIG. 2A, the level 1 hierarchy includes the existing information 1-a, and the existing information 2-a and the existing information related to the existing information 1-a. 2-b and the existing information 2-c are included in the level 2 hierarchy, and the existing information 3-a and the existing information 3-b related to the existing information 2-a included in the level 2 hierarchy are Classification and classification so that it is included in the hierarchy.

  Next, the acquired information acquired by executing the project is classified so as to have a tree structure divided into hierarchies shown in FIG.

  That is, as shown in FIG. 2B, the acquired information acquired by executing the project is divided into a high-level concept and a low-level concept, and the related acquired information is connected by a line to form a tree structure. Associating. For example, the acquisition information 1-A that is a superordinate concept is associated with the acquisition information 2-A that is a subordinate concept, and the acquisition information 2-B that is a subordinate concept and the acquisition information 1-B that is a superordinate concept. Information 2-C is associated.

  Then, after the acquired information is associated as shown in FIG. 2B, the structure between them is grasped by comparing with existing information as shown in FIG. 2C.

  The acquired information 1-A and the acquired information 2-A do not correspond to the existing information, and when the existing information 3-a exists in the subordinate concept of the acquired information 2-A, the acquired information 1-A Are classified into the level 1 hierarchy, the acquired information 2-A is classified into the level 2 hierarchy, and the acquired information 2-A and the existing information 3-a are connected by a line. On the other hand, if the acquired information 1-B matches the existing information 2-c, the acquired information 2-B and the acquired information 2-C are classified into level 3 which is a lower hierarchy of the existing information 2-c. The acquired information 2-B and the acquired information 2-C are connected to the existing information 2-c with a line.

  After understanding the relationship between the tree structure divided as described above and existing information or acquired information included in each layer, the existing information is input to the existing information input file 101A as described later, and the acquired information Acquisition information is input to the input file 101B.

  An existing information input file 101A as shown in FIG. 3 is stored in the existing information input file storage unit 101. The existing information input file 101A is input for each existing information and is stored separately for each existing information. ing.

  The existing information input file 101A is provided with an information No input column 101a and an information name input column 101b which are existing information identification items for identifying each existing information. In addition, an information hierarchy level input column 101c, an upper information No input column 101d, and a lower information No input column 101e, which are existing information structure evaluation items for evaluating the structure of existing information, are provided. Furthermore, a quality input column 101f and an importance input column 101g, which are existing information content evaluation items for evaluating the content of the existing information, are provided.

  In the information No input column 101a, identification information is input so as not to overlap each existing information. In the present embodiment, the number “13” is used, but the number is not limited to the number, and only a symbol, a combination of symbols, a combination of a symbol and a number, or the like may be used.

  In the information name input field 101b, the name of the existing information that is the input target of the existing information input file 101A is input. Here, the name “quantification of risk” is entered.

  In the information hierarchy level input field 101c, the hierarchy to which the existing information to be input belongs is input according to the hierarchy described above. Here, since the information “risk quantification” is classified into level 2 according to the hierarchy as described above, a numerical value “2” representing the level is input.

  In the upper information No. input column 101d, information No. of existing information that is existing information related to the existing information to be input and is included in the upper hierarchy of the existing information to be input is input. Here, the information No. of “progress / process management” included in level 1 which is a hierarchy higher than level 2 which is a hierarchy including existing information “risk quantification” (here, assumed to be “5”) ) Is entered. For existing information that has already been input, a data structure 102A of the existing information as shown in FIG. 4 has been generated. Therefore, a related superordinate concept is extracted from this existing division data structure 102A and information No. is input. do it.

  When the existing information to be input is included in the level 1 hierarchy, or when there is no existing information related to the upper hierarchy, “−” is used to indicate that there is no such higher information. input.

  In addition, when there are a plurality of existing information related to the existing information to be input and included in a higher hierarchy, “,” or the like, which is a symbol for partitioning a plurality of information numbers, is input. You just have to do it.

  In the lower information No input column 101e, information No. of existing information which is existing information related to the existing information to be input and is included in the lower hierarchy of the existing information to be input is input. Here, it is the existing information included in level 3 that is a hierarchy lower than level 2 that is the hierarchy in which the existing information “risk quantification” to be input is included, and is a subordinate concept of “risk quantification” However, since there is no such existing information, “-” is input here.

  When existing information is included in a level 3 hierarchy or when there is no existing information related to a lower hierarchy as in the present embodiment, “−” is used to indicate that there is no such lower information. input.

  In addition, when there are a plurality of existing information related to the existing information to be input and included in the lower hierarchy, “,” or the like, which is a symbol for partitioning a plurality of information Nos. What should I do?

  In the quality input field 101f, a numerical value is input as to whether or not advanced knowledge is required in order to understand the existing information to be input. Here, it is input so as to become a larger value as more advanced knowledge is required. In this embodiment, a numerical value between “0.0 to 100.0” is input, but this numerical range can be changed as appropriate.

  In the importance level input column 101g, the necessity or speciality of the existing information that is the input target is input as a numerical value. Here, the numerical value is input so that the numerical value increases as the necessity or speciality of the existing information to be input increases. In the present embodiment, a numerical value between “0.0 and 2.0” is input, but the numerical value range is not limited thereto.

  The input to these input fields is performed by reading the existing information input file 101A into the input unit 112.

  Based on the existing information input as described above, the existing information tree generation unit 102 generates a tree structure 102A as shown in FIG.

  That is, the names of the existing information whose hierarchy level is “1” input in the information hierarchy level input column 101c are arranged in the left column 102a in the vertical direction so that the information with the smaller information No is positioned above. Then, the existing information related to the existing information whose hierarchical level is “1” and the existing information included in the hierarchical level “2” is displayed in the middle column 102b so that the related existing information is adjacent to each other. Arrange vertically. When there are a plurality of existing information of the hierarchy level “2” related to the existing information of the hierarchy level “1”, the information with the smaller information No. is arranged in the upper direction. Also, the existing information related to the hierarchy level “1” or the hierarchy level “2”, and the existing information included in the hierarchy level “3” is also displayed in the right column so that the related existing information is adjacent to each other. 102c is arranged in the vertical direction. When there are a plurality of existing information of the hierarchy level “3” related to the existing information of the hierarchy level “1” or the hierarchy level “2”, the information with the smaller information No. is arranged above. Note that the existing information included in the hierarchy level “2” or the hierarchy level “3” that has no existing information related to the upper hierarchy is positioned at the bottom of the middle column 102b or the right column 102c, And it arranges so that a thing with small information No. may be located above.

  In addition, the related existing information is connected by a line 102d so that the related situation can be easily grasped.

  Since the tree structure 102A of the existing information generated by the existing information tree generation unit 102 can be displayed as shown in FIG. 4 in the tree structure display unit 103, for example, in FIG. The existing information of “risk quantification” that has been made can be easily grasped as a subordinate concept of “progress / process management” included in the level 1 hierarchy. Inputting into the existing information input file 101A while referring to such a tree structure 102A makes it easier to organize existing information.

  For example, by specifying and executing a predetermined area in which the name of the existing information is displayed, the existing information input file 101A of the existing information represented by the name is displayed.

  An acquisition information input file 104A as shown in FIG. 5 is stored in the acquisition information input file storage unit 104. The acquisition information input file 104A is input for each acquisition information and is stored separately for each acquisition information.

  The acquired information input file 104A is provided with an information number input column 104a and an information name input column 104b as acquired information identification items for identifying each acquired information. In addition, an information hierarchy level input field 104c, an upper information No input field 104d, and a lower information No input field 104e are provided as acquired information structure evaluation items for evaluating the structure of acquired information. Further, the utilization information input file No. input field 104f, importance input field 104g, difficulty input field 104h, influence input field 104i, novelty evaluation value input as acquired information content evaluation items for evaluating the content of acquired information A column 104j, a non-novelty evaluation value input column 104k, a post-judgment upper information No input column 104l, and a post-judgment match information input column 104m are provided.

  In the information No input column 104a, identification information is input so as not to overlap each acquired information. In the present embodiment, the number “22” is input, but the number is not limited to the number, and only a symbol, a combination of symbols, a combination of a symbol and a number, or the like may be used.

  In the information name input field 104b, the name of acquisition information (here, “risk evaluation”) that is an input target of the acquisition information input file 104A is input.

  In the information hierarchy level input field 104c, the hierarchy level of the hierarchy in which the acquired information to be input is classified in the acquired information is input. Here, since the “risk evaluation” to be input is classified into level 2 in the acquired information by the above-described hierarchy classification, a numerical value “2” representing this level is input.

  In the upper information No input column 104d, information No. of acquisition information that is related to the acquisition information to be input and is included in the upper hierarchy of the acquisition information to be input is input. Here, since the input object is the acquired information “risk evaluation”, it is included in level 1 that is a hierarchy higher than level 2 that is the hierarchy in which the acquired information is included, and is an upper concept of “risk evaluation” “ Information No. of “non-financial evaluation” (here, “20” is assumed) is input.

  If the acquired information to be input is included in the level 1 hierarchy or there is no existing information related to the upper hierarchy, “−” is used to indicate that there is no such higher information. input.

  In addition, when there are a plurality of existing information related to the existing information to be input and included in the upper hierarchy, “,” or the like, which is a symbol for partitioning between the information Nos. What should I do?

  In the lower information No input column 104e, information No. of acquisition information that is related to the acquisition information to be input and is included in the lower hierarchy of the acquisition information to be input is input. Here, since the input object is the acquired information “risk evaluation”, it is included in level 3 which is a lower hierarchy of level 2 which is the hierarchy in which the acquired information is included, and is a lower concept of “risk evaluation” “ Information No. (here, “27” and “28” are assumed) of “scenario” and “alternative knowledge” are input. Here, since there are a plurality of information numbers to be input, “,” which is a symbol for partitioning between these information numbers is entered, but this symbol should be distinguished from the information numbers. As long as it can do, it may be anything.

  If the existing information to be input is included in the level 3 hierarchy or there is no existing information related to the lower hierarchy, “−” is used to indicate that there is no such lower information. input.

  In the utilization information input file No input field 104f, a file of the utilization information input file 105A to be described later when the acquired information to be input is used alternatively with other acquired information. Enter No. If there is no such utilization information input file, the symbol “-” is input.

  In the importance input field 104g, an importance level indicating how much the acquired information to be input is necessary for carrying out the project is set to 0.0 to 100 so that the importance level increases as the importance level increases. Enter a number between 0.

  In the difficulty level input field 104h, the difficulty of obtaining the acquisition information that is the input target, the difficulty of the contents, the difficulty of understanding and tackling, and the difficulty of these difficulties increases as the difficulty increases. Enter a value between 0.0 and 2.0 so that the value is large.

  In the influence input column 104i, a ratio that the acquired information to be input clarifies other information or improves the quality of the other information is set to a larger numerical value as the ratio increases. Enter a numerical value between 0.0 and 2.0.

  The novelty evaluation value input field 104j is a field for inputting whether or not the acquired information to be input is new compared to the existing information. The acquired information to be input is new. “1” is entered when the number is “1”, and “0” is entered when the number is not new.

  Even when it is determined that the acquired information to be input is not new in the non-newness evaluation value input field 104k (that is, when “0” is input in the novelty evaluation value input field). When it is possible to evaluate that the acquired information is valuable, a numerical value between 0.0 and 1.0 is input so that the larger the ratio of determining that the value is, the larger the value is.

  After the determination, the upper information No. As shown in FIG. 2C, the input field 104l becomes an input target after determining whether there is a match between the acquired information and the existing information or whether there is a related one. The existing information related to the acquired information, and the information No. of the existing information included in the upper hierarchy of the acquired information to be input is input. Here, since there is no such existing information, the symbol “−” is input.

  In addition, when there are a plurality of existing information related to the existing information to be input and included in the upper hierarchy, “,” or the like that is a symbol for partitioning between the plurality of information Nos. You can put it in.

  As shown in FIG. 2C, the post-judgment match information No input field 104m is acquired after it is determined whether there is a match between the acquired information and the existing information. If there is existing information that matches the information, the information No of the matching existing information is input. Here, since there is no such existing information, the symbol “−” is input.

  Note that the input to these input fields is performed by reading the acquired information input file 104A to the input unit 112.

  Based on the acquisition information input as described above, the acquisition information tree generation unit 105 generates an acquisition information tree structure 105A as shown in FIG.

  That is, the names of the acquired information having the hierarchy level “1” input in the information hierarchy level input field 104c are arranged in the left column 105a in the vertical direction so that the information having a smaller information number is positioned above. In the middle column 105b, the acquired information related to the acquired information of the hierarchical level “1” and the acquired information included in the hierarchical level “2” is positioned adjacent to each other. Line up in the direction. When there are a plurality of acquisition information of the hierarchy level “2” related to the acquisition information of the hierarchy level “1”, the acquisition information is arranged so that the one with the smaller information No is positioned above. In addition, for the acquisition information related to the hierarchy level “1” or the hierarchy level “2” and also included in the hierarchy level “3”, the right column is set so that the related acquisition information is adjacent to each other. 105c is arranged in the vertical direction. When there are a plurality of pieces of acquisition information of the hierarchy level “3” related to the acquisition information of the hierarchy level “1” or the hierarchy level “2”, they are arranged so that the smaller information No. is positioned above. Note that the acquisition information included in the hierarchy level “2” or the hierarchy level “3” that has no acquisition information related to the upper hierarchy is located at the bottom of the middle column 105b or the right column 105c, And it arranges so that a thing with small information No. may be located above.

  In addition, it is made possible to grasp | ascertain the situation which is related easily by connecting related acquisition information by the line 105d.

  Since the tree structure 105A of the acquisition information generated by the acquisition information tree generation unit 105 can be displayed as shown in FIG. 6 in the tree structure display unit 106, for example, the acquisition information input of FIG. The acquired information “risk evaluation” that was input in the file 104A is a subordinate concept of “non-financial evaluation” included in the level 1 hierarchy. ”And“ alternative knowledge ”can be easily grasped. By inputting to the acquired information input file 104A while referring to such a tree structure 105A, it becomes easy to evaluate the structure and contents of the acquired information.

  For example, by specifying and executing a predetermined area where the name of the acquired information is displayed, the acquired information input file 104A of the existing information represented by the name is displayed.

  The utilization information input file storage unit 107 stores a utilization information input file 107A shown in FIG.

  In the utilization information input file 107A, when the project is executed, one acquisition information is selectively utilized from among utilization groups composed of a plurality of acquisition information, or all the acquisitions in the utilization group are acquired. When there is a relationship where information is not utilized, input is made for each utilization group. If the acquired information does not have such a relationship, the utilization information input file 107A is not input.

  As shown in FIG. 7, the utilization information input file 107A includes a utilization information input file No input field 107a, utilization information number input field 107b, information No input fields 107c and 107c ′, and utilization probability input fields. 107d and 107d ′ and non-utilization probability input fields 107e and 107e ′ are provided.

  In the utilization information input file No input column 107a, identification information is input so as not to overlap each utilization group. In the present embodiment, the number “1” is used, but the number is not limited to the number, and only a symbol, a combination of symbols, a combination of a symbol and a number, or the like may be used.

  In the utilization information number input field 107b, the number of acquired information belonging to the utilization group to be input is input. In accordance with the number input here, information No. input fields 107c and 107c ', utilization probability input fields 107d and 107d', and non-utilization probability input fields 107e and 107e 'are formed. In this embodiment, since “2” is input, two information number input fields 107c and 107c ′, utilization probability input fields 107d and 107d ′, and non-utilization probability input fields 107e and 107e ′ are formed. Has been.

  In the information No input fields 107c and 107c ', the information No. of the acquired information belonging to the utilization group that is the input target is input one by one in each field.

  In this embodiment, the acquired information is used in the order of the acquired information (descending order) specified by the information No input in the information No input fields 107c and 107c ′. For example, an input field for specifying the order of utilization may be provided, and the order may be specified.

  In the utilization probability input fields 107d and 107d ′, the obtained acquisition information, that is, the numbers input in the information No. input fields 107c and 107c ′ immediately above the utilization probability input fields 107d and 107d ′ being input. The probability that the specified acquired information is utilized is input from a numerical value between 0.0 and 1.0.

  When a numerical value between 0.0 and 1.0 is entered in the utilization probability input fields 107d and 107d ′, the target acquisition information, that is, the non-directly under the utilization probability input fields 107d and 107d ′ that have been input. In the utilization probability input fields 107e and 107e ′, a value obtained by subtracting the numerical value input in the utilization probability input fields 107d and 107d ′ immediately above 1.0 is automatically input.

  Further, in the non-utilization probability input fields 107e and 107e ', the obtained acquisition information, that is, the information No. immediately above the input non-utilization probability input fields 107e and 107e'. The probability that the utilization information specified by the numbers entered in the input fields 107c and 107c ′ is not utilized is input from a numerical value between 0.0 and 1.0. The acquired information, that is, the numerical value input from 1.0 to the non-utilization probability input fields 107e and 107e ′ in the utilization probability input fields 107d and 107d ′ immediately above the input non-utilization probability input fields 107e and 107e ′. The value obtained by subtracting is automatically entered.

  The input to these input fields is performed by reading the utilization information input file 107A to the input unit 112.

  As shown in FIG. 8, the decline information input file storage unit 108 stores the decline information input file 108A, and the acquired information is not utilized in the order specified by the utilization information input file 107A. In this case, the rate of decrease can be input to the predetermined input fields 108a and 108b. In this embodiment, a numerical value between 0.0 and 1.0 is input.

  Here, when the acquired information does not form the above-described utilization group, it is not necessary to input the decline information input file 108A.

  Note that the input to these input fields is performed by reading the degradation information input file 108A to the input unit 112.

  The fluctuation information input file storage unit 109 stores a fluctuation information input file 109A shown in FIG.

  The variation information input file 109A is input when the acquired information corresponds to a variable item described later and the evaluation value of the acquired knowledge varies, and the acquired information does not correspond to such a variable item. No input is made to the fluctuation information input file 109A.

  The change information input file 109A includes information No input fields 109a and 109a ′, change item No input fields 109b and 109b ′, influence evaluation item number input fields 109c and 109c ′, and impact evaluation item No input fields 109d and 109d. ', First influence item content input fields 109e, 109e', first influence degree input fields 109f, 109f ', first probability input fields 109g, 109g', and second influence item content input fields 109h and 109h ′, second influence input fields 109i and 109i ′, and second probability input fields 109j and 109j ′ are provided.

  In the information No input fields 109a and 109a ', information Nos. Of acquired information that cause fluctuations in the evaluation value of the acquired information depending on the change items described later are input. If there are a plurality of pieces of acquired information that receive the same variable item, the same probability, and the same degree of influence, they are input to the same information No input fields 109a and 109a '. On the other hand, if even one of the variable items, the probability, or the degree of influence is different, it is entered in different information No input fields 109a and 109a '. When a plurality of information numbers are input in the same information number input fields 109a and 109a ', a symbol ("," in the present embodiment) for separating the input information numbers is entered.

  In the present embodiment, when “0” is input as in the information number input field 109a ′, the evaluation values of all acquired information are changed. However, the present invention is not limited to this mode, and all acquired information is acquired. You may provide the symbol etc. which identify that it is information separately.

  In the variable item number input fields 109b and 109b ', the variable item numbers listed in the variable item list 121 shown in FIG. 10 are input.

  As shown in FIG. 10, in the present embodiment, “non-specific” (No. 0) is listed as the fluctuation item, and this does not correspond to the fluctuation items (No. 1 to 3) described later. To enter.

  Variable item No. The “year of experience” of 1 is the “year of experience” spent by the person in charge (project manager) when executing the project as the person in charge. This is provided because it is believed that the longer the years of experience, the more effectively the acquired information is used to increase the evaluation value of the acquired information.

  Variable item No. The “project period” of 2 is provided because the fluctuation range of the evaluation value is considered to be larger as the project period is longer.

  Variable item No. The “management situation” of 3 is provided because it is considered that the fluctuation of the evaluation value is small when the management situation is good, but the fluctuation of the evaluation value is considered large when the management situation is bad.

  In this embodiment, “non-specific”, “years of experience”, “project period” and “management status” are listed as variable items, but it is not limited to these. Other reasons that cause fluctuations can be added or changed to these fluctuation items.

  In the impact evaluation item number input fields 109c and 109c ', the number of corresponding impact evaluation items (described later) is input.

  In the impact evaluation item No input fields 109d and 109d ', the No of the impact evaluation item listed in the impact evaluation item list 122 shown in FIG. 11 is input.

  As shown in FIG. 11, in the present embodiment, “essentiality”, “difficulty”, and “improvement” are listed as impact evaluation items, but the present invention is not limited to these. Here, the “essentiality” is selected when the essentiality of the evaluation value is affected by the above-described variation item. The “difficulty level” is selected when the difficulty level of the evaluation value is affected by the above-mentioned variable items. Further, the “degree of improvement” is selected when the degree of improvement of the evaluation value is affected by the above-described variation item.

  In the first influence item content input fields 109e and 109e ', conditions for corresponding to the variable items specified in the variable item number input fields 109b and 109b' are input.

  For example, in this embodiment, “1” is input in the variable item number input field 109b, which indicates the years of experience. As for the number of years of experience, “10 years” is input as the threshold for the number of years of experience because it is considered that the acquired information can be used effectively as the number of years of experience increases. That is, it is considered that the influence on the evaluation value of the acquired information is very different between the person who has a career of “10 years” or more as the person in charge of the project and the other person.

  In the first influence degree input fields 109f and 109f ', the extent to which the evaluation value is affected by the change item specified in the change item number input fields 109b and 109b' is input. In the present embodiment, the degree of influence is selected and input from a numerical value in the range of 0.0 to 2.0.

  In the first probability input fields 109g and 109g ', the probability that the evaluation value is affected by the variable item specified in the variable item number input fields 109b and 109b' is input. In this embodiment, the probability is selected and input from a numerical value in the range of 0.0 to 1.0.

  In the second influence item content input fields 109h and 109h ′, the degree of influence on the evaluation value and the probability of influence when the conditions are different from the conditions input in the first influence item content input fields 109e and 109e ′. If they are different, enter the conditions.

  For example, in the present embodiment, it is assumed that if the first influence item content input field 109e has years of experience of 10 years or more, the acquired information can be used effectively, and thus the evaluation value is changed positively. However, if you have entered the degree of influence and probability on the evaluation value, but you have only less than 10 years of experience, you will not be able to use the acquired information effectively, and the evaluation value will fluctuate negatively. it is conceivable that. Therefore, in the present embodiment, the condition of less than 10 years is presented in the second influence item content input field 109h, and the influence degree and probability in this case are set as the second influence degree input field 109i and the second probability input field. 109j is input.

  In the second influence degree input fields 109i and 109i ', the extent to which the evaluation value is affected by the change item specified in the change item number input fields 109b and 109b' is input. In the present embodiment, the degree of influence is selected and input from a numerical value in the range of 0.0 to 2.0.

  In the second probability input fields 109j and 109j ', the probability that the evaluation value is affected by the variable items specified in the variable item number input fields 109b and 109b' is input. In this embodiment, the probability is selected and input from a numerical value in the range of 0.0 to 1.0.

  The input to these input fields is performed by reading the fluctuation information input file 109A to the input unit 112.

  The representative value input file storage unit 110 is a representative value input file (not shown) for inputting the number of representative combinations when the number of combinations is reduced using the representative values in the evaluation value calculation processing unit 113 described later. ) Is stored. In the present embodiment, natural numbers from “1 to 10” are input to the representative value input file. Note that the input to this input field is performed by reading the representative value input file to the input unit 112.

  The arithmetic expression information storage unit 113 stores arithmetic expression information for calculating an evaluation value for each acquired information from information input to the existing information input file 101A and the acquired information input file 104A.

  In the present embodiment, the following expression (1) is stored as the arithmetic expression information.

Here, Vi: an evaluation value of each acquired information.
A: Numerical value input in novelty evaluation value input field 104j.
B: A numerical value input in the information hierarchy level input field 104c of the acquired information.
C11: Number of information numbers input in the upper information number input field 104d of acquired information.
C12: Number of information numbers input in the lower information number input field 104e of the acquired information.
C21: Number of pieces of acquired information included in the same hierarchical level among the acquired information having the same utilization information input file No.
C22: Number of acquired information items having the same utilization information input file No.
A ′: a numerical value input in the non-novelty evaluation value input field 104k.
G1: A numerical value (total if there are plural numbers) input to the quality input column 101f of the existing information corresponding to the information No. input to the post-judgment upper information No input column 104l and the post-determination matching information No input column 104m.
G2: Numerical values input to the importance input column 101g of the existing information corresponding to the information No. input to the post-judgment upper information No input column 104l and the post-determination coincidence information No input column 104m (when there are a plurality, the sum thereof) .
b, c, f1, f2: Arbitrary coefficients, which can be changed in consideration of the weighting of each parameter in the coefficient input file, as will be described later.

  Here, in the above equation (1), the portion of A × {b / B + c (C11 + C12 + C21-C22)} is an evaluation value that can be derived from the structure of the acquired information.

  In the above equation (1), the portion A ′ × {f 1 (G 1 + G 2) + f 2 (D × E × F)} is an evaluation value that can be derived from the contents of the acquired information.

  The coefficient information input file storage unit 111 stores a coefficient information input file 111A as shown in FIG.

  The coefficient information input file 111A is provided with a coefficient b input field 111a, a coefficient c input field 111b, a coefficient f1 input field 111c, and a coefficient f2 input field 111d.

  In the coefficient b input field 111a, a coefficient for determining whether or not to place an evaluation weight on the hierarchy to which the acquired information belongs is selected and input from a numerical value between 0.0 and 2.0. The larger the coefficient here, the greater the weight of the hierarchy in the evaluation value of the acquired information.

  In the coefficient c input field 111b, a coefficient for determining whether or not to place a weight on the number of pieces of acquired information related to the acquired information to be evaluated is selected and inputted from a numerical value between 0.0 and 2.0. . The larger the coefficient here, the greater the weight of the related acquired information in the evaluation value of the acquired information.

  In the coefficient f1 input column 111c, a coefficient for determining whether or not to place weight on the contents of the existing information related to the acquired information to be evaluated is selected and entered from a numerical value between 0.0 and 2.0. . The larger the coefficient here, the greater the weight of the evaluation value related to the content of the existing information related to the evaluation value of the acquired information.

  In the coefficient f2 input field 111d, a coefficient for determining whether or not to place a weight on the content of acquired information to be evaluated is selected and input from a numerical value between 0.0 and 2.0. The larger the coefficient here, the greater the weight of the evaluation value related to the content of the acquired information in the evaluation value of the acquired information.

  The coefficient b input field 111a is 1.0, the coefficient c input field 111b is 2.0, the coefficient f1 input field 111c is 1.0, and the coefficient f2 input field 111d is 1.0. The coefficient information input file 111A is opened and a predetermined numerical value is input only when these coefficients are input and it is desired to change these coefficients.

  The input to these input fields is performed by reading the coefficient information input file 111A into the input unit 112.

  In the evaluation value calculation unit 114, the information input to the existing information input file 101A, the information input to the acquired information input file 104A, and the information input to the coefficient information input file 111A are stored in the calculation formula information storage unit 113. By assigning it to the stored equation (1), the evaluation value of each acquired information is calculated.

  Note that the evaluation value of each piece of acquired information calculated by the evaluation value calculation unit 114 is classified for each piece of acquired information and stored in the evaluation result file storage unit 116.

  Based on the evaluation value calculated by the evaluation value calculation unit 114, the overall evaluation value calculation unit 115 calculates an overall evaluation value that is an evaluation value of the entire acquired information.

  First, when the information regarding the utilization group is not input to the utilization information input file 107A and the information regarding the variation of the evaluation value is not input to the variation information input file 109A, the overall evaluation value calculation unit 115 By summing up the evaluation values of the respective pieces of acquired information calculated by the evaluation value calculation unit 114, an overall evaluation value that is an evaluation value of the entire acquired information acquired by executing the project is calculated.

  The overall evaluation value calculated in this way is stored in the evaluation result file storage unit 116.

  Next, when the information about the utilization group is input to the utilization information input file 107A and the information regarding the variation of the evaluation value is not input to the variation information input file 109A, the overall evaluation value calculation unit 115 In the following manner, an overall evaluation value that is an evaluation value of the entire acquired information acquired by executing the project is calculated.

  In such a case, in the overall evaluation value calculation unit 115, based on the information input to the utilization information input file 107A, based on the combination of acquired information specified by the order of utilization in the utilization group, for each combination, After calculating the occurrence probability and cumulative evaluation value in the evaluation group, the overall evaluation value is calculated.

  For example, as shown in the utilization information input file 107A in FIG. 221 and information no. 222, and the order of utilization is information No. The acquired information of 221 is the information no. Assume that the acquired information 222 is used later. Then, as shown in the lowering information input file 108A in FIG. 8, the lowering rate is 0.4 when the order 1 acquisition information is not used, and the lowering is when the order 2 acquisition information is not used. The rate is 0.2. In addition, the information No. obtained by the above-described equation (1). The evaluation value of the acquired information 221 is V1, and the information No. Assume that the evaluation value of the acquired information 222 is V2. Furthermore, the acquired information acquired by carrying out this project includes acquired information No. 223 that does not belong to this utilization group, and the evaluation value obtained by equation (1) of this acquired information is Suppose that it is V3.

  In such a case, as an evaluation group for calculating a cumulative evaluation value considering this utilization group, information No. Information No. 221 when the acquired information of 221 is utilized. 221 acquisition information and information No. 223 acquired information, the first evaluation group, information No. The acquired information of 221 is not utilized and the information No. Information No. 221 when the acquired information of 221 is utilized. 221 acquisition information and information No. 222 acquired information and information No. 223, the second evaluation group, information No. The acquired information of 221 is not utilized and the information No. Information No. 222 when the acquired information of 222 is not used. 221 acquisition information and information No. 222 acquired information and information No. The third evaluation group is composed of 223 acquired information.

  As shown in FIG. 13, in the first evaluation group, the information No. The probability that the acquired information of 221 is used is 0.9, and the evaluation value in that case is V1, so the cumulative evaluation value of the first evaluation group is (when the acquired information of information No. 221 is used) Evaluation value) + (evaluation value of information No. 223) = V1 + V3, and this occurrence probability is 0.9.

  In the second evaluation group, the occurrence probability is obtained by (probability that the acquired information of information No. 221 is not utilized) × (probability that the acquired information of information No. 222 is utilized), and the example of FIG. Then, 0.1 × 0.8 = 0.08, and the cumulative evaluation value of the second evaluation group is (evaluation value when the acquired information of information No. 221 is not utilized) + (information No. 222). Evaluation value of acquired information) + (Evaluation value of information No. 223) = V1 ′ + V2 + V3 = 0.4V1 + V2 + V3.

  Further, in the third evaluation group, the occurrence probability is obtained by (probability that the acquired information of information No. 221 is not used) × (probability that the acquired information of information No. 222 is not used). In the example of FIG. 0.1 × 0.2 = 0.02, and the cumulative evaluation value of the third evaluation group is (evaluation value when the acquired information of information No. 221 is not utilized) + (information of No. 222) Evaluation value when acquired information is not utilized) + (Evaluation value of information No. 223) = V1 ′ + V2 ′ + V3 = 0.4V1 + 0.2V2 + V3.

  When there is such a utilization group, the overall evaluation value calculation unit 115 calculates the overall evaluation value by adding the weighted values of the cumulative evaluation values of the evaluation groups with the respective occurrence probabilities. Specifically, in the example of FIG. 13, the overall evaluation value is calculated by the following equation (2).

  The probability of occurrence in each evaluation group, the cumulative evaluation value, and the overall evaluation value calculated by the overall evaluation value calculation unit 115 are stored in the evaluation result file storage unit 116 in a form corresponding to each utilization group.

  Next, the overall evaluation value calculation unit 115, when the information regarding the utilization group is not input to the utilization information input file 107A and the information regarding the variation of the evaluation value is input to the variation information input file 109A. In the following manner, an overall evaluation value that is an evaluation value of the entire acquired information acquired by executing the project is calculated.

  Here, as shown in FIG. 14, the acquired information acquired by executing a certain project is X1, X3, X5, and X6, and the evaluation value of each acquired information according to the expression (1) is as follows: Assume that V1, V3, V5 and V6, respectively.

  Here, it is assumed that the acquired information X1 corresponds to a certain fluctuation item, and the evaluation value V1 changes to the evaluation value S11 with the probability P11, and also changes to the evaluation value S21 with the probability P21.

  Further, the acquired information X3 also corresponds to a certain variation item, and the evaluation value V3 changes to the evaluation value S13 with the probability P13, and also changes to the evaluation value S23 with the probability P23.

  Similarly, the evaluation value V5 of the acquired information X5 changes to the evaluation value S15 with the probability P15, changes to the evaluation value S25 with the probability P25, changes to the evaluation value S35 with the probability P35, and further, the evaluation value V6 of the acquired information X6 changes to the probability P16. Thus, the evaluation value S16 is changed.

  In such a case, as shown in the right diagram of FIG. 14, the overall evaluation value calculation unit 115 first calculates the fluctuation probability and the aggregated evaluation value for all combinations of evaluation values with which the acquired information varies. To do.

  Here, the fluctuation probability is obtained by multiplying all of the evaluation values of the obtained information in the combination with the fluctuation evaluation values, and the total evaluation value is obtained by adding all the evaluation values in the combination. Become.

  Then, the overall evaluation value calculation unit 115 calculates the overall evaluation value by adding all of the total evaluation values calculated by the respective combinations of the changing evaluation values to the multiplication probability of the combination.

  Specifically, in the example of FIG. 14, the overall evaluation value is calculated by the following equation (3).

  In addition, when the acquisition information No., the degree of influence, and the probability that are affected can be individually input for each fluctuation item as in the fluctuation information input file 109A shown in FIG. The variation probability and the aggregated evaluation value are calculated for each combination of evaluation values received, but instead of such a variation information input file 109A, all acquired information has the same influence degree and the same probability for each variation item. Assuming that the evaluation value fluctuates in FIG. 15, as shown in FIG. 15, the total evaluation value can be obtained for each probability (here, P1, P2, and P3). Even in this case, the variation probability is obtained by multiplying the respective probabilities by the number of evaluation values that vary with the probability.

  When a natural number is input to the above-described representative value input file 110A, the overall evaluation value calculation unit 115 calculates a total evaluation value as follows.

  That is, as described above, the overall evaluation value calculation unit 115 calculates the fluctuation probability and the total evaluation value for all combinations when the evaluation value fluctuates based on the information input to the fluctuation information input file 109A. However, when a large number of evaluation values fluctuate, the calculation process may take a very long time. Therefore, as shown in FIG. 16, the number of combinations can be reduced by calculating a representative value from a plurality of fluctuating evaluation values and probabilities.

  Specifically, the acquired information acquired by executing a certain project is X1, X3, X5, and X6, and the evaluation values according to the expression (1) of the acquired information are V1, V3, V5, and V6, respectively. The acquired information X1 corresponds to a certain fluctuation item, and the evaluation value V1 changes to the evaluation value S11 with the probability P11, changes to the evaluation value S21 with the probability P21, and changes to the evaluation value S31 with the probability P31. In addition, it is assumed that the evaluation value S41 varies with the probability P41.

  Similarly, the evaluation value V3 of the acquired information X3 changes to the evaluation value S13 with the probability P13, changes to the evaluation value S23 with the probability P23, changes to the evaluation value S33 with the probability P33, and changes to the evaluation value S43 with the probability P43. It is assumed that the value V5 changes to the evaluation value S15 with the probability P15, changes to the evaluation value S25 with the probability P25, and further the evaluation value V6 of the acquired information X6 changes to the evaluation value S16 with the probability P16, and changes to the evaluation value S26 with the probability P26.

  In such a case, the overall evaluation value calculation unit 115 uses the added value of the probability as a representative value of the probability, and multiplies each evaluation value by the probability and divides by the representative value of the probability as the representative value of the evaluation value. Thus, the number of changing evaluation value combinations can be reduced.

  For example, in the example of acquired information X1 shown in FIG. 16, the number of combinations of evaluation values that fluctuate can be reduced by the following formulas (4) and (5) (here, representative values). As an example when 2 is input).

  By calculating the representative values for the acquisition information X3, the acquisition information X5, and the acquisition information X6 by the same calculation, the number of combinations can be reduced.

  When the number of combinations is not divisible by the input representative value, the calculation for reducing the number of combinations is not performed for the evaluation value of the portion that cannot be divided.

  The total evaluation value, the variation probability, and the overall evaluation value calculated in this way are stored in the evaluation result file storage unit 116.

  Next, when the information about the utilization group is input to the utilization information input file 107A and the information about the variation of the evaluation value is input to the variation information input file 109A, the overall evaluation value calculation unit 115 In the following manner, an overall evaluation value that is an evaluation value of the entire acquired information acquired by executing the project is calculated.

  As shown in FIG. 17, the acquired information obtained by executing a certain project is Y1, Y2, and Y3, and the acquired information Y1 and Y2 form an utilization group that is used alternatively. Suppose that In FIG. 17, Y1 'indicates that the acquired information Y1 is not used, Y2' indicates that the acquired information Y2 is not used, and Y3 'indicates that the acquired information Y3 is not used.

  The evaluation values according to the expression (1) of the acquired information Y1, Y2, and Y3 are set to V1, V2, and V3, respectively.

  Further, it is assumed that the utilization order in the utilization group constituted by Y1 and Y2 is such that Y1 is first and then Y2 is utilized. The decrease rate when Y1 is not utilized is α, and the decrease rate when Y2 is not utilized is β. Further, it is assumed that the probability that Y1 is utilized is Q1 'when it is not utilized in Q1, and the probability that Y2 is utilized is Q2' when it is not utilized in Q2.

  Further, the evaluation value V1 of Y1 changes to the evaluation value S11 with the probability P11, changes to the evaluation value S11 with the probability P12, and when Y1 is not utilized, the respective evaluation values are S11 ′ = αS11, Assume that S12 ′ = αS12. Similarly, the evaluation value V2 of Y2 changes to the evaluation value S21 with the probability P21, changes to the evaluation value S21 with the probability P22, and when Y2 is not utilized, each evaluation value is S21 ′ = βS21. , S22 ′ = βS22.

  In such a case, the overall evaluation value calculation unit 115 calculates the integrated evaluation value calculated for each evaluation group and for each combination of fluctuations and the integration probability thereof as follows.

  First, the overall evaluation value calculation unit 115 calculates a cumulative evaluation value and its occurrence probability for each combination of evaluation groups, as in the case where only items related to the utilization group are input.

  Next, the overall evaluation value calculation unit 115 calculates an integrated evaluation value and an integrated probability by combining fluctuating evaluation values based on the cumulative evaluation value and occurrence probability calculated as described above.

  In other words, the integrated evaluation value is obtained by summing, for each evaluation group, the total evaluation value for each combination of evaluation values that fluctuates within each evaluation group and the variation probability for each combination. It is calculated by multiplying the occurrence probability of each evaluation group. The integration probability is the same as the occurrence probability for each evaluation group.

  Specifically, in the example of FIG. 18, if the integrated evaluation value of the first evaluation group is K1, the integrated evaluation value of the second evaluation group is K2, and the integrated evaluation value of the third evaluation group is K3, These are calculated by the following equations (6), (7) and (8).

  The integration probability of K1 is Q1, the integration probability of K2 is Q1 '· Q2, and the integration probability of K3 is Q1' · Q2 '.

  Then, the overall evaluation value calculation unit 115 calculates the overall evaluation value by multiplying these integration evaluation values by the respective integration probabilities and adding them.

  Specifically, the overall evaluation value is calculated by the equation (9).

  The overall evaluation value, the overall probability, and the overall evaluation value calculated as described above are stored in the evaluation result file storage unit 116.

  As described above, the evaluation result file storage unit 116 includes the evaluation value, the cumulative evaluation value and the occurrence probability, the total evaluation value and the fluctuation probability, the integrated evaluation value and the integration probability, and the overall evaluation, which are the calculation results of the evaluation value calculation unit 114. Value is stored.

  The evaluation result display unit 117 stores the evaluation value, cumulative evaluation value and occurrence probability, total evaluation value and variation probability, integrated evaluation value and integration probability, and overall evaluation value stored in the evaluation result file storage unit 116 respectively. Display in format.

  For example, as shown in FIG. 19, these displays are preferably represented in a graph 119A in which the vertical axis indicates the probability and the horizontal axis indicates the evaluation value. FIG. 19 shows the integrated evaluation value line 119a of the first evaluation group, the integrated evaluation value line 119b of the second evaluation group, the integrated evaluation value line 119c of the third evaluation group, and the average of these. A broken line 119d representing the value.

  A method of using the project evaluation system 100 configured as described above will be described with reference to the flowchart shown in FIG.

  First, the existing information input file 101A stored in the existing information input file storage unit 101 is opened, and predetermined items are input in a predetermined input field (S200).

  At this time, it is desirable to display the existing information tree structure 102A in the existing information tree display unit 103 and input the information while confirming the structure of the existing information.

  Step 200 is continued until all the existing information is input (S201). However, if all the existing information has already been input, steps 200 and 201 can be omitted.

  When all the existing information has been input (S201), the acquisition information input file 104A stored in the acquisition information input file storage unit 104 is opened, and predetermined items are input in a predetermined input field (S202).

  At this time, it is desirable to display the existing information tree structure 102A or the acquired information tree structure 105A on the existing information tree display unit 103 or the acquired information tree display unit 106 and input them while confirming these structures.

  If all the acquired information has been input (S203), the process proceeds to the next.

  When there is a utilization group (S204), the utilization information input file 107A stored in the utilization information input file storage unit 107 is opened, and predetermined items are input in a predetermined input field (S205).

  When input is completed for all utilization groups (S206) or when there is no utilization group (S204), the process proceeds to the next.

  If there is acquired information corresponding to the fluctuation item (S207), the fluctuation information input file 109A stored in the fluctuation information input file storage unit 109 is opened, and predetermined items are input in a predetermined input field (S208). .

  When all necessary items are input to the fluctuation information input file 109A (S209) or when there is no acquired information corresponding to the fluctuation items (S207), the process proceeds to the next.

  When changing the coefficient (S210), the coefficient information input file 111A is opened, and predetermined items are input in a predetermined input field (S211).

  When the coefficient is not changed (S210) or when the input of the coefficient is completed (S212), the process proceeds to the next.

  When setting the representative value (S213), the representative value input file is opened and the representative value is input (S214).

  When the input to the input item is completed, by issuing a calculation command at the input unit 120 (S215), the evaluation value calculation unit 114 calculates the evaluation value, and the overall evaluation value calculation unit 115 calculates the total evaluation value. Then, the evaluation value is displayed by the evaluation result display unit 119 (S216).

  The project evaluation system 100 configured as described above can be realized, for example, by a computer system 300 shown in FIG.

  The computer system 300 includes a CPU (Central Processing Unit) 301, a main memory 302, an input device 303 such as a keyboard / mouse, an auxiliary storage device 304, a display 305, and an internal bus 306 connecting them.

  In this case, the existing information input file storage unit 101, the acquired information input file storage unit 104, the utilization information input file storage unit 107, the decline information input file storage unit 108, the fluctuation information input file storage unit 109, and the coefficient information input file storage unit 111 The representative value input file storage unit 110, the arithmetic expression information storage unit 113, and the evaluation result file storage unit 116 are realized by the auxiliary storage device 304, and the existing information tree generation unit 102, the acquired information tree generation unit 105, and the evaluation value calculation unit 114. The overall evaluation value calculation unit 115 is realized by reading a predetermined program stored in the auxiliary storage device 304 to the main memory 302 and processing it by the CPU 301, and the input unit 112 reads a predetermined input file to the main memory 302. By issuing a command to the CPU 301 with the input device 303 Are revealed, the existing information tree display unit 103, acquires information tree display unit 106 and the evaluation result display unit 117 is realized by a display 305.

  As described above, in the present embodiment, in the existing information input file 101A and the acquired information input file 104A, the existing information and acquired information are classified into three layers. It is not necessarily limited to this and can be changed as appropriate.

  In this embodiment, the existing information input file 101A is provided with an information hierarchy level input column 101c, a higher information No input column 101d, a lower information No input column 101e, a quality input column 101f, and an importance input column 101g. However, the input items of the existing information are not limited to these.

  Also in the acquired information input file 104A, the information hierarchy level input field 104c, the upper information No input field 104d, the lower information No input field 104e, the utilization information input file No input field 104f, the importance level input field 104g, and the difficulty level input field 104h. , An influence degree input field 104i, a novelty evaluation value input field 104j, a non-newness evaluation value input field 104k, a post-judgment upper information No input field 104l, and a post-judgment match information input field 104m are provided. The input items are not limited to these, and these items can be changed / added as long as it is deemed necessary for evaluating the structure or content of the acquired information.

  Similarly, the input items in the utilization information input file 107A, the decrease information input file 108A, the fluctuation information input file 109, the representative value input file, and the coefficient information input file 111A are not limited to those of the present embodiment. Absent.

  Further, the expression (1), which is the calculation expression information in the present embodiment, can be appropriately changed within a range in which the acquired information can be evaluated from the structural aspect and the content aspect.

  Further, the method for calculating the overall evaluation value in the present embodiment is also changed as appropriate within a range in which the entire acquired information acquired by executing the project can be evaluated.

  Further, in the present embodiment, the entire information depends on whether information on the utilization group is input to the utilization information input file 107A and whether information on the fluctuation of the evaluation value is input to the variation information input file 109A. Although the calculation method of the evaluation value is changed, it is also possible to calculate a plurality of overall evaluation values calculated by different calculation methods as long as the overall evaluation value can be calculated by different calculation methods.

The schematic block diagram of the project evaluation system 100 which is position embodiment of this invention. Schematic of tree structure. The schematic block diagram of the existing information input file 101A. Schematic showing the tree structure 102A of the existing information. The schematic block diagram of the acquisition information input file 104A. Schematic showing tree structure 105A of acquisition information. The schematic block diagram of the utilization information input file 107A. The schematic block diagram of the fall rate information input file 108A. The schematic block diagram of the fluctuation | variation information input file 109A. Schematic of the variable item list 121. FIG. Schematic of the impact assessment item list 122. FIG. The schematic block diagram of the coefficient information input file 111A. Explanatory drawing showing the example which calculates the whole evaluation value in case there exists a utilization group. Explanatory drawing showing the 1st example which calculates the whole evaluation value in case the evaluation value of acquisition information fluctuates. Explanatory drawing showing the 2nd example which calculates the whole evaluation value in case the evaluation value of acquisition information fluctuates. Explanatory drawing showing the 3rd example which calculates the whole evaluation value in case the evaluation value of acquisition information fluctuates. Explanatory drawing showing the example which calculates the whole evaluation value when there exists a utilization group and the evaluation value of acquisition information fluctuates. Explanatory drawing showing the example which calculates the whole evaluation value when there exists a utilization group and the evaluation value of acquisition information fluctuates. Schematic showing the example of a display of an evaluation value. The flowchart showing the usage method of the project evaluation system 100. FIG. 1 is a schematic configuration diagram illustrating a computer system 300. FIG.

Explanation of symbols

100 ... Flowchart of the method for using the project evaluation system 100 shown in FIG. 20, 101 ... Existing information input file storage unit, 104 ... Acquired information input file storage unit, 107 ... Utilization information input file storage unit, 108 ... Decrease information input file storage 109: Fluctuation information input file storage unit, 111 ... Coefficient information input file storage unit, 112 ... Input unit, 113 ... Calculation formula information storage unit, 114 ... Evaluation value calculation unit, 115 ... Overall evaluation value calculation unit

Claims (6)

For existing information that has already been acquired before the project is implemented, an existing information input file for inputting predetermined information into an existing information content evaluation item for evaluating the content of the existing information and the project As for the acquired information acquired by doing, predetermined information is input to an acquired information structure evaluation item for evaluating the acquired information structure and an acquired information content evaluation item for evaluating the acquired information content And an arithmetic expression for calculating an evaluation value for each acquired information based on information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item Storage means for storing information;
Input means for inputting predetermined information to the existing information input file and the acquired information input file;
Computation processing means for computing an evaluation value for each piece of acquired information using the calculation formula information based on the information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item ,
The arithmetic processing means includes:
Calculating the overall evaluation value of the acquired information acquired by executing the project by adding the evaluation values of all acquired information acquired by executing the project;
In the storage means, when the acquired information is used alternatively from the utilization group composed of a plurality of the acquired information, identification information for specifying the acquired information belonging to the utilization group, and It is possible to input at least one of a utilization probability that each acquired information belonging to the utilization group is utilized in the project or a non-utilization probability that each acquired information belonging to the utilization group is not utilized in the project. A utilization information input file, and a degradation information input file capable of inputting degradation information for lowering the evaluation value of the acquisition information that was not utilized when the acquisition information belonging to the utilization group was not utilized. Remembered,
The arithmetic processing means includes:
When calculating the overall evaluation value, the evaluation value of the acquired information belonging to the utilization group is obtained by multiplying the evaluation value by the utilization probability, and by reducing the evaluation value based on the decrease information A project evaluation system characterized by using a product obtained by multiplying the product by the non-utilization probability. The project evaluation system according to claim 1,
In the storage means,
Identification information for identifying the acquired information corresponding to the variable item, and acquisition corresponding to the variable item when the acquired information corresponds to a predetermined variable item that is considered to change the evaluation value A variation information input file is stored in which variation information for varying the evaluation value of information and a variation probability that is a probability of varying the evaluation value of the acquired information corresponding to the variation item can be input. And
The arithmetic processing means includes:
When calculating the overall evaluation value, the evaluation value of acquired information corresponding to the change item is obtained by changing the evaluation value by a predetermined amount by the change information and multiplying the change probability. Project evaluation system characterized by A project evaluation method for evaluating a project using a computer,
An existing information input process for inputting predetermined information into an existing information content evaluation item for performing an evaluation on the content of the existing information with respect to the existing information already acquired before the project is implemented,
The acquisition information structure evaluation item for evaluating the acquisition information structure and the acquisition information content evaluation item for evaluating the content of the acquisition information are predetermined for the acquisition information acquired by executing the project. Acquisition information input process to input information,
An evaluation value calculation process for calculating an evaluation value for each acquired information based on the information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item;
An overall evaluation value calculation process for calculating an overall evaluation value of acquired information obtained by executing the project by adding the evaluation values of all acquired information acquired by executing the project;
When the acquired information is selectively used from among the utilization groups composed of a plurality of the acquired information, identification information for specifying the acquired information belonging to the utilization group, and each of the utilization groups A utilization information input process for inputting at least one of utilization probability that acquired information is utilized in the project or non-utilization probability that each acquired information belonging to the utilization group is not utilized in the project;
A reduction information input process for inputting reduction information for lowering the evaluation value of the acquired information that was not utilized when the acquired information belonging to the utilization group was not utilized;
The overall evaluation value calculation process includes:
For the evaluation value of the acquired information belonging to the utilization group, the evaluation value multiplied by the utilization probability, and the evaluation value reduced based on the decrease information multiplied by the non-utilization probability A project evaluation method characterized by calculating the overall evaluation value using a value obtained by adding. The project evaluation method according to claim 3 ,
When the acquired information corresponds to a predetermined variable item considered to fluctuate the evaluation value, identification information for specifying acquired information corresponding to the variable item, and acquired information corresponding to the variable item A variation information input process capable of inputting variation information for varying the evaluation value of the information and a variation probability that is a probability of varying the evaluation value of the acquired information corresponding to the variation item,
The overall evaluation value calculation process includes:
As for the evaluation value of the acquired information corresponding to the variation item, the overall evaluation value is calculated using a value obtained by multiplying the evaluation value by a predetermined amount by the variation information and the variation probability. Project evaluation method. An existing information input file for inputting predetermined information to an existing information content evaluation item for performing evaluation on the content of the existing information for the existing information already acquired before the project is executed on the computer, and the project As for the acquired information acquired by performing the above, predetermined information is added to the acquired information structure evaluation item for evaluating the acquired information structure and the acquired information content evaluating item for evaluating the acquired information content. For calculating an evaluation value for each acquired information based on the information input to the acquired information input file for input, the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item Storage means for storing arithmetic expression information;
Input means for inputting predetermined information to the existing information input file and the acquired information input file;
Based on the information input to the existing information content evaluation item, the acquired information structure evaluation item, and the acquired information content evaluation item, the calculation function information functions as an arithmetic processing unit that calculates an evaluation value for each acquired information. ,
The arithmetic processing means includes:
By calculating the overall evaluation value of the acquired information obtained by executing the project by adding the evaluation values of all acquired information obtained by executing the project,
In the storage means,
When the acquired information is selectively used from among the utilization groups composed of a plurality of the acquired information, identification information for specifying the acquired information belonging to the utilization group, and each of the utilization groups Utilization information input file that can input at least one of utilization probability that acquired information is utilized in the project or non-utilization probability that each acquired information belonging to the utilization group is not utilized in the project, and A decline information input file that can be used to input decline information for lowering the evaluation value of the obtained information that was not utilized when the obtained information belonging to the utilization group was not utilized;
The arithmetic processing means includes:
When calculating the overall evaluation value, the evaluation value of the acquired information belonging to the utilization group is obtained by multiplying the evaluation value by the utilization probability, and by reducing the evaluation value based on the decrease information A program for evaluating a project characterized by using a product obtained by multiplying a product obtained by multiplying the non-utilization probability by a value obtained by multiplying the product by the non-utilization probability. A project evaluation program according to claim 5 ,
In the storage means,
When the acquired information corresponds to a predetermined variable item considered to fluctuate the evaluation value, identification information for specifying acquired information corresponding to the variable item, and acquired information corresponding to the variable item A variation input file is stored in which variation information for varying the evaluation value of the item and a variation probability that is a probability of varying the evaluation value of the acquired information corresponding to the variation item are input. ,
The arithmetic processing means includes:
When calculating the overall evaluation value, the evaluation value of acquired information corresponding to the change item is obtained by changing the evaluation value by a predetermined amount by the change information and multiplying the change probability. Project evaluation program characterized by

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