CN108647869A - Engineering Assessment Method and device - Google Patents
Engineering Assessment Method and device Download PDFInfo
- Publication number
- CN108647869A CN108647869A CN201810403686.7A CN201810403686A CN108647869A CN 108647869 A CN108647869 A CN 108647869A CN 201810403686 A CN201810403686 A CN 201810403686A CN 108647869 A CN108647869 A CN 108647869A
- Authority
- CN
- China
- Prior art keywords
- weight
- index system
- evaluation index
- evaluation
- project
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 98
- 238000011156 evaluation Methods 0.000 claims abstract description 184
- 230000008569 process Effects 0.000 claims abstract description 33
- 239000011159 matrix material Substances 0.000 claims description 55
- 239000013598 vector Substances 0.000 claims description 21
- 238000003860 storage Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 7
- 238000010606 normalization Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 3
- 230000008901 benefit Effects 0.000 description 36
- 238000009826 distribution Methods 0.000 description 10
- 230000009897 systematic effect Effects 0.000 description 6
- 239000003245 coal Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of Engineering Assessment Method and devices.Wherein, this method includes：Obtain the evaluation index system of engineering, wherein evaluation index system includes：Multiple indexs for being assessed engineering；The first weight of evaluation index system is determined using analytic hierarchy process (AHP)；The second weight of evaluation index system is determined using entropy assessment；Based on evaluation index system, the first weight and the second weight, the assessment result of engineering is obtained.The present invention solves the low technical problem of Engineering Assessment Method accuracy in the prior art.
Description
Technical Field
The invention relates to the technical field of power grid planning, in particular to an engineering evaluation method and device.
Background
In order to reduce the coal pollution in winter and improve the air quality, the coal-to-electricity engineering is greatly popularized, the distributed unreasonable heating modes such as a small heating boiler for production and life are mainly solved, and meanwhile, the electricity heating has obvious peak load regulation and valley fill effects, so that corresponding benefits are obtained between power production enterprises and users.
Meanwhile, the engineering of changing coal into electricity is vigorously implemented, so that a plurality of electric equipment are added in the power distribution network, and the electric load is greatly increased. However, the traditional engineering assessment method has the limitations of single-index and single-point evaluation, and cannot accurately assess whether the transformation of one area is successful or not, so that the same problem may repeatedly occur, and the overall task is influenced.
Aiming at the problem of low accuracy of the engineering assessment method in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides an engineering evaluation method and device, which at least solve the technical problem of low accuracy of the engineering evaluation method in the prior art.
According to an aspect of an embodiment of the present invention, there is provided an engineering assessment method, including: acquiring an evaluation index system of a project, wherein the evaluation index system comprises: a plurality of metrics for evaluating the project; determining a first weight of an evaluation index system by using an analytic hierarchy process; determining a second weight of the evaluation index system by using an entropy weight method; and obtaining an evaluation result of the project based on the evaluation index system, the first weight and the second weight.
Further, obtaining the evaluation result of the project based on the evaluation index system, the first weight and the second weight includes: obtaining a third weight of the evaluation index system based on the first weight, the second weight and a preset coefficient, wherein the preset coefficient is used for representing the proportion of the first weight to the second weight: obtaining the score value of each index in an evaluation index system; and obtaining an evaluation result according to the third weight and the score value of each index.
Further, determining the first weight of the evaluation index system using analytic hierarchy process comprises: constructing a hierarchical structure model based on an evaluation index system; constructing a judgment matrix based on the hierarchical structure model, wherein a first element in the judgment matrix and other elements except the first element have a membership relationship, and the element value of each element is used for representing the importance degree of the element; and acquiring a feature vector corresponding to the judgment matrix to obtain a first weight.
Further, before obtaining the first weight, the method further comprises: carrying out consistency check on the feature vectors; under the condition that the feature vector passes the verification, carrying out normalization processing on the feature vector to obtain a first weight; and under the condition that the feature vector check fails, reconstructing a judgment matrix.
Further, constructing the judgment matrix based on the hierarchical structure model includes: acquiring indexes with membership in an evaluation index system; and taking the index with the membership relationship as a first element of the judgment matrix, and sequentially taking other indexes which belong to the first element as other elements in the judgment matrix.
Further, determining the second weight of the evaluation index system by using the entropy weight method comprises: acquiring a preset data matrix, wherein elements in the preset data matrix are used for representing the relationship between a plurality of evaluation objects and an evaluation index system; obtaining the entropy of an evaluation index system according to a preset data matrix; and obtaining a second weight of the evaluation index system according to the entropy of the evaluation index system.
Further, the acquiring the preset data matrix includes: acquiring an initial data matrix; and standardizing the initial data matrix to obtain a preset data matrix.
Further, the system for obtaining the evaluation index of the project comprises: acquiring a comprehensive evaluation target of a project; and decomposing the comprehensive evaluation target layer by layer to obtain an evaluation index system.
According to another aspect of the embodiments of the present invention, there is also provided an engineering evaluation apparatus, including: the acquisition module is used for acquiring an evaluation index system of the project, wherein the evaluation index system comprises: a plurality of metrics for evaluating the project; the first determination module is used for determining a first weight of the evaluation index system by utilizing an analytic hierarchy process; the second determining module is used for determining a second weight of the evaluation index system by using an entropy weight method; and the processing module is used for obtaining the evaluation result of the project based on the evaluation index system, the first weight and the second weight.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute the above-mentioned engineering assessment method.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to run a program, where the program performs the above engineering assessment method when running.
In the embodiment of the invention, after the evaluation index system of the project is obtained, the first weight of the evaluation index system can be determined by using an analytic hierarchy process, the second weight of the evaluation index system can be determined by using an entropy weight process, and the evaluation result of the project is obtained based on the evaluation index system by further combining the first weight and the second weight, so that the purpose of comprehensive and practical evaluation of the project is realized. Compared with the prior art, the obtained evaluation index system considers the influence of economic benefits, social benefits and power distribution network operation conditions on the coal-to-electricity engineering, and the comprehensive benefits evaluation is carried out on the engineering by combining the analytic hierarchy process and the entropy weight method, so that comprehensive and practical engineering comprehensive benefits evaluation is realized, the technical effects of improving the evaluation accuracy and the practicability of the evaluation method are achieved, and the technical problem of low accuracy of the engineering evaluation method in the prior art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of engineering assessment according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an alternative evaluation index system according to an embodiment of the present invention;
FIG. 3 is a flow chart of an alternative engineering assessment method according to an embodiment of the present invention; and
fig. 4 is a schematic diagram of an engineering assessment apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of an engineering assessment method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a project assessment method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, obtaining an evaluation index system of the project, wherein the evaluation index system comprises: a plurality of metrics for evaluating a project.
Specifically, the project may be a "coal-to-electricity" project, and the index may be all factors affecting the "coal-to-electricity" project, for example, the index may be an index of three aspects, such as an economic benefit level, a social benefit level, and an operation condition of a power distribution network.
In an alternative scheme, all factors influencing the coal-to-electricity engineering can be determined by collecting relevant documents, and a comprehensive evaluation index system capable of comprehensively and practically evaluating the coal-to-electricity engineering is established according to systematic, dynamic, scientific, comparable and operability principles.
It should be noted that by establishing the evaluation index system of the coal-to-electricity engineering, the comprehensive evaluation of the economic benefit level, the social benefit level and the operation condition of the power distribution network of the coal-to-electricity engineering is realized, the limitation of the traditional single-index and single-point evaluation is broken through, a comprehensive and practical evaluation index system of the coal-to-electricity is formed, and a theoretical guidance is provided for the implementation of the coal-to-electricity engineering.
And step S104, determining a first weight of the evaluation index system by using an analytic hierarchy process.
Specifically, the analytic hierarchy process may refer to a systematic approach for decomposing a complex multi-objective decision problem into a system, decomposing a target into a plurality of criteria of one level, further decomposing each criterion into a plurality of levels of multiple indexes, and calculating a level single rank and a total rank by quantification of qualitative indexes to serve as a multi-index, multi-scheme optimized decision of one target; the first weight may be a subjective weight of the evaluation index system.
And step S106, determining a second weight of the evaluation index system by using an entropy weight method.
Specifically, the entropy weight method may be a measure of the degree of system order, and the smaller the information entropy of the evaluation index is, the greater the degree of variation of the index value is, the greater the amount of information provided is, and the greater the weight is; the second weight described above may be an objective weight of the evaluation index system.
And S108, obtaining an evaluation result of the project based on the evaluation index system, the first weight and the second weight.
In an optional scheme, the subjective weight determined by using a hierarchical method and the objective weight determined by using an entropy weight method can be combined to comprehensively score the comprehensive benefit of the coal-to-electricity engineering, so that the evaluation result of the coal-to-electricity engineering is obtained.
In the above embodiment of the present invention, after the evaluation index system of the project is obtained, the first weight of the evaluation index system may be determined by using an analytic hierarchy process, the second weight of the evaluation index system may be determined by using an entropy weight method, and the evaluation result of the project may be obtained based on the evaluation index system by further combining the first weight and the second weight, so as to achieve the purpose of performing comprehensive and practical evaluation on the project. Compared with the prior art, the obtained evaluation index system considers the influence of economic benefits, social benefits and power distribution network operation conditions on the coal-to-electricity engineering, and the comprehensive benefits evaluation is carried out on the engineering by combining the analytic hierarchy process and the entropy weight method, so that comprehensive and practical engineering comprehensive benefits evaluation is realized, the technical effects of improving the evaluation accuracy and the practicability of the evaluation method are achieved, and the technical problem of low accuracy of the engineering evaluation method in the prior art is solved.
Optionally, in the foregoing embodiment of the present invention, in step S108, obtaining an evaluation result of the project based on the evaluation index system, the first weight, and the second weight includes:
step S1082, obtaining a third weight of the evaluation index system based on the first weight, the second weight and a preset coefficient, wherein the preset coefficient is used for representing the ratio of the first weight to the second weight.
Specifically, the preset coefficient may be a preference coefficient a, and for an evaluation index system without preference, a may be 0.5, that is, the subjective weight is as important as the objective weight; for the 'coal-to-electricity' project, because part of indexes in an evaluation index system are important, in order to avoid that certain indexes which have large fluctuation but are not very important actually obtain large weight, the subjective weight is set to be more important than the objective weight in advance, for example, a is set to be more than 0.5, and the specific value of a can be adjusted according to the actual situation.
In an alternative scheme, a combined weighting method may be used to determine a final index weight of an evaluation index system of the "coal to power" project, that is, the third weight, where the combined weighting method is implemented by combining a subjective weighting method and an objective weighting method, and the final index weight is obtained through a preference coefficient a, and the calculation formula is as follows: w is aGeneral assembly＝a×w1+(1-a)×w2Wherein w isGeneral assemblyAs final index weight, w1Is a first weight, w2Is the second weight.
Step S1084, the score value of each index in the evaluation index system is obtained.
It should be noted that, the project success evaluation needs to analyze the difference between the actual implementation result and the project establishment stage with respect to the objective and plan determined in the project establishment stage to evaluate the achievement degree of the project objective. On the other hand, when the success degree of a project is evaluated, it is necessary to analyze the influence of the target rationality, the reality, and the change of the condition environment of the project so as to evaluate the success degree of the project according to the actual situation. The success evaluation is a comprehensive and systematic evaluation based on the achievement degree of the project objective analyzed by the logical framework method and the evaluation conclusion of the comprehensive benefit analysis of economy, society and the like and taking the project objective and the benefit as the core.
Specifically, the success rating criteria for related item evaluations have five ratings:
1) the complete success is as follows: the project reservation index is fully realized, and part of the project is completed in excess, so that the project obtains great benefit.
2) The basic success is as follows: the preset target of the project is completely finished, and the project achieves the expected benefit.
3) Part of the success: the predetermined goal is achieved in part, or in greater part; the project only obtains certain benefits.
4) Unsuccessful: the predetermined goal is achieved only in a limited part and the project produces little positive benefit.
5) Failure: the predetermined goal is not achieved or is at a loss and the project has to be terminated.
In an optional scheme, the scoring value of each index can be obtained by scoring each index in the evaluation index system, so that the evaluation results of each evaluation index are integrated, and a qualitative conclusion is given to the success degree of the project.
And step S1086, obtaining an evaluation result according to the third weight and the score value of each index.
In an optional scheme, comprehensive scoring can be performed on the comprehensive benefits of the coal-to-electricity engineering according to the final index weight determined by combining the analytic hierarchy process and the entropy weight process and the single index scoring value, so as to obtain the final evaluation result of the coal-to-electricity engineering.
Alternatively, in the above embodiment of the present invention, in step S104, determining the first weight of the evaluation index system by using an analytic hierarchy process includes:
and step S1042, constructing a hierarchical structure model based on the evaluation index system.
It should be noted that, the analytic hierarchy process is used to solve the practical problem, and the problem to be analyzed and decided is first clarified, and the problem is organized, organized and layered to obtain its hierarchical structure.
Specifically, the hierarchy of the analytic hierarchy process consists of three levels: the first layer is the target layer (highest layer), the intended target of the study; the second layer is a criterion layer (middle layer) which influences the criterion of target realization; the third layer is the measure layer (the lowest layer) that guarantees the achievement of the target, wherein the target layer only contains unique elements. Firstly, determining a target needing decision-making through analysis of a research object, and taking the well-defined target as the highest layer element of the whole target layer on the basis; then, determining factors of a criterion layer, wherein when the problem of a more complex object is researched, a plurality of possibilities exist in the criterion for realizing the target, so that the main principles, the subordination principles and the subordination principles need to be determined, the criterion factors in the criterion layer are further divided into different layers and different groups, and subordination relations generally exist among elements in different layers; finally, to solve the decision-making problem for the study object, the final solution alternatives can be used as a factor in the measure layer, placing them at the lowest level of the hierarchy. After the relationship between the factors and the positions of the factors in each layer is clarified, the relationship between the factors and the positions is connected by connecting lines to form a final hierarchical structure.
It should be noted that, in a hierarchical structure with complex relationships, the relationship of groups is not obvious, and several elements in the previous layer are dominant to several elements in the next layer at the same time, i.e. the so-called hierarchical relationship, but the membership in the upper and lower layers should be obvious no matter how the relationship is changed.
Step S1044 is that a judgment matrix is built based on the hierarchical structure model, wherein a first element in the judgment matrix and other elements except the first element have a membership relationship, and an element value of each element is used for representing the importance degree of the element.
In an alternative, after constructing the low-order hierarchical structure, each element having a downward membership may be used as a first element of the decision matrix, and the elements belonging thereto are sequentially arranged in the first row and the first column. Then, aiming at the criterion of judging the matrix, two elements are compared with each other to determine which is important and how much is important, and the importance degree is assigned according to 1-9. The importance is shown in Table 1 below, and as can be seen from Table 1, aij>0，aii＝1，aji＝1/aij。
TABLE 1
| Degree of importance | Means of |
| 1 | Two elements are of equal importance when compared |
| 3 | The former is more important than the latter when compared with the other |
| 5 | The former is significantly more important than the latter when compared with the two elements |
| 7 | The former is more important than the latter when compared with the two elements |
| 9 | The former is extremely important than the latter when compared with the two elements |
| 2、4、6、8 | Median of the above determinations |
| Reciprocal of the | If the importance of element i compared to element j is aijThen the importance of element j compared to element i is 1/aij |
Step S1046, obtaining a feature vector corresponding to the determination matrix, and obtaining a first weight.
In an optional scheme, the maximum feature root and the corresponding feature vector are calculated for each pair-wise comparison matrix, and the feature vectors are the weight vectors of the target layer after normalization. Further obtaining the weight of the criterion layer relative to the target layer and the weight of the index layer relative to the criterion layer, thereby determining the final master weight w1。
Optionally, in the above embodiment of the present invention, before obtaining the first weight in step S1046, the method further includes:
step S110, performing consistency check on the feature vectors.
And step S112, under the condition that the feature vector passes the verification, performing normalization processing on the feature vector to obtain a first weight.
And step S114, reconstructing a judgment matrix under the condition that the characteristic vector check fails.
In an optional scheme, in order to avoid artificial judgment inconsistency, consistency check is performed on the result of the judgment matrix, specifically, consistency check can be performed by using a consistency index, a random consistency index and a consistency ratio; if the test is passed, the feature vector is a weight vector after passing the normalization, and if the feature vector does not pass the normalization, a comparison matrix needs to be reconstructed. The consistency index is shown by the following formula:
wherein r is the maximum eigenvalue of the judgment matrix, n is the order of the judgment matrix, and when c.r. <0.1, the requirement of consistency is satisfied, and the r.i value can be determined according to the order of the judgment matrix, and the specific relationship is as shown in table 2 below:
TABLE 2
| Order of the scale | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| R.I. value | 0.00 | 0.00 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 |
Optionally, in the foregoing embodiment of the present invention, in step S1044, the constructing the determination matrix based on the hierarchical structure model includes:
and S10442, acquiring indexes with membership in the evaluation index system.
In step S10444, the index having the membership is used as the first element of the determination matrix, and other indexes belonging to the first element are sequentially used as other elements in the determination matrix.
Optionally, in the foregoing embodiment of the present invention, in step S106, determining the second weight of the evaluation index system by using an entropy weight method includes:
step S1062, acquiring a preset data matrix, wherein elements in the preset data matrix are used for representing the relationship between the plurality of evaluation objects and the evaluation index system.
Specifically, the preset data matrix may be configured by m indexes and n evaluation objects, and specifically, P ═ P (P)ij)m×nWherein p isij(0≤pij≦ 1) as the standard value for the jth evaluation subject on the ith index, for the forward index:
for the reverse indicator:
and step S1064, obtaining the entropy of the evaluation index system according to the preset data matrix.
Specifically, the entropy of the ith index is defined as:
wherein,
and step S1066, obtaining a second weight of the evaluation index system according to the entropy of the evaluation index system.
Specifically, the entropy weight of the ith index is defined as:
wherein,
in an alternative scheme, the entropy weight of each index can be obtained according to the entropy of each index in the evaluation index system, so that an objective weight set W is obtained2。
Optionally, in the above embodiment of the present invention, in step S1062, the acquiring the preset data matrix includes:
in step S10622, an initial data matrix is obtained.
Specifically, the initial data matrix may be X ═ X (X)ij)m×n。
Step S10624, standardizing the initial data matrix to obtain a preset data matrix.
In an alternative scheme, the initial data matrix is normalized to obtain a standard data matrix, that is, a preset data matrix.
Optionally, in the foregoing embodiment of the present invention, in step S102, the obtaining an evaluation index system of the project includes:
step S1022, a comprehensive evaluation target of the project is acquired.
And step S1024, decomposing the comprehensive evaluation target layer by layer to obtain an evaluation index system.
In an alternative scheme, as shown in fig. 2, an evaluation index system of the coal-to-electricity engineering can be established according to systematic, dynamic, scientific, comparable and operability principles, and the hierarchical structure shown in fig. 2 is established by decomposing and merging the targets of the comprehensive evaluation of the coal-to-electricity engineering layer by layer and is divided into three layers, wherein the top layer is a target layer, the middle layer is a criterion layer (including economic benefit, social benefit and power distribution network operation condition), and the third layer is an index layer which is a sub-index of the middle layer.
Fig. 3 is a flow chart of an alternative engineering assessment method according to an embodiment of the present invention, and a preferred embodiment of the present invention is described in detail below with reference to fig. 3. As shown in fig. 3, the method comprises the steps of:
and step S31, establishing a comprehensive evaluation index system of the coal-to-electricity engineering.
Alternatively, as shown in fig. 2, a comprehensive assessment index system of the coal-to-electricity engineering can be established according to the principles of systematicness, dynamics, scientificity, comparability and operability.
And step S32, determining subjective weight of the evaluation index by using an analytic hierarchy process.
Optionally, the subjective weight of the comprehensive evaluation index system may be determined by using an analytic hierarchy process, and the specific implementation process of the analytic hierarchy process is known from the above steps, which is not described herein again.
And step S33, determining the objective weight of the evaluation index by applying an entropy weight method.
Optionally, the objective weight of the comprehensive evaluation index system may be determined by using an entropy weight method, and the specific implementation process of the entropy weight method is known from the above steps, which is not described herein again.
In step S34, a final evaluation index weight is obtained.
Alternatively, the final evaluation index weight may be found by a preference coefficient in combination with the subjective weight and the objective weight.
And step S35, calculating the scoring value of the single index of the coal-to-electricity engineering.
Alternatively, the evaluation results of the evaluation indexes can be combined to give a qualitative conclusion on the success degree of the project, namely, the score in general.
And step S36, calculating the final score value of the coal-to-electricity engineering.
Optionally, the comprehensive benefit of 'coal to electricity' is comprehensively scored according to the index weight determined by combining the analytic hierarchy process and the entropy weight process and the single index scoring value, so as to obtain a final evaluation result.
According to the scheme, the comprehensive benefit evaluation of the coal-to-electricity engineering based on the analytic hierarchy process and the entropy weight method is provided by combining theoretical research according to a large amount of actual data of the coal-to-electricity engineering, the influence of economic benefits, social benefits and power distribution network operation conditions on the coal-to-electricity engineering is considered, an evaluation index system is reasonable and comprehensive, and the method is applied to the actual coal-to-electricity engineering modification, so that the method is reasonable in design and strong in practicability, and provides a good method and means for the development of the coal-to-electricity engineering.
Example 2
According to an embodiment of the present invention, an embodiment of an engineering evaluation apparatus is provided.
Fig. 4 is a schematic diagram of an engineering assessment apparatus according to an embodiment of the present invention, as shown in fig. 4, the apparatus including:
an obtaining module 42, configured to obtain an evaluation index system of the project, where the evaluation index system includes: a plurality of metrics for evaluating a project.
Specifically, the project may be a "coal-to-electricity" project, and the index may be all factors affecting the "coal-to-electricity" project, for example, the index may be an index of three aspects, such as an economic benefit level, a social benefit level, and an operation condition of a power distribution network.
In an alternative scheme, all factors influencing the coal-to-electricity engineering can be determined by collecting relevant documents, and a comprehensive evaluation index system capable of comprehensively and practically evaluating the coal-to-electricity engineering is established according to systematic, dynamic, scientific, comparable and operability principles.
It should be noted that by establishing the evaluation index system of the coal-to-electricity engineering, the comprehensive evaluation of the economic benefit level, the social benefit level and the operation condition of the power distribution network of the coal-to-electricity engineering is realized, the limitation of the traditional single-index and single-point evaluation is broken through, a comprehensive and practical evaluation index system of the coal-to-electricity is formed, and a theoretical guidance is provided for the implementation of the coal-to-electricity engineering.
A first determination module 44 for determining a first weight of the evaluation index system using analytic hierarchy process.
Specifically, the analytic hierarchy process may refer to a systematic approach for decomposing a complex multi-objective decision problem into a system, decomposing a target into a plurality of criteria of one level, further decomposing each criterion into a plurality of levels of multiple indexes, and calculating a level single rank and a total rank by quantification of qualitative indexes to serve as a multi-index, multi-scheme optimized decision of one target; the first weight may be a subjective weight of the evaluation index system.
A second determining module 46, configured to determine a second weight of the evaluation index system by using an entropy weight method.
Specifically, the entropy weight method may be a measure of the degree of system order, and the smaller the information entropy of the evaluation index is, the greater the degree of variation of the index value is, the greater the amount of information provided is, and the greater the weight is; the second weight described above may be an objective weight of the evaluation index system.
And the processing module 48 is used for obtaining the evaluation result of the project based on the evaluation index system, the first weight and the second weight.
In an optional scheme, the subjective weight determined by using a hierarchical method and the objective weight determined by using an entropy weight method can be combined to comprehensively score the comprehensive benefit of the coal-to-electricity engineering, so that the evaluation result of the coal-to-electricity engineering is obtained.
In the above embodiment of the present invention, after the evaluation index system of the project is obtained, the first weight of the evaluation index system may be determined by using an analytic hierarchy process, the second weight of the evaluation index system may be determined by using an entropy weight method, and the evaluation result of the project may be obtained based on the evaluation index system by further combining the first weight and the second weight, so as to achieve the purpose of performing comprehensive and practical evaluation on the project. Compared with the prior art, the obtained evaluation index system considers the influence of economic benefits, social benefits and power distribution network operation conditions on the coal-to-electricity engineering, and the comprehensive benefits evaluation is carried out on the engineering by combining the analytic hierarchy process and the entropy weight method, so that comprehensive and practical engineering comprehensive benefits evaluation is realized, the technical effects of improving the evaluation accuracy and the practicability of the evaluation method are achieved, and the technical problem of low accuracy of the engineering evaluation method in the prior art is solved.
Example 3
According to an embodiment of the present invention, an embodiment of a storage medium is provided, where the storage medium includes a stored program, and when the program runs, a device in which the storage medium is located is controlled to execute the engineering assessment method in embodiment 1.
Example 4
According to an embodiment of the present invention, an embodiment of a processor for running a program is provided, where the program executes the engineering assessment method in embodiment 1.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A method for evaluating a project, comprising:
acquiring an evaluation index system of a project, wherein the evaluation index system comprises: a plurality of metrics for evaluating the project;
determining a first weight of the evaluation index system by using an analytic hierarchy process;
determining a second weight of the evaluation index system by using an entropy weight method;
and obtaining the evaluation result of the project based on the evaluation index system, the first weight and the second weight.
2. The method of claim 1, wherein obtaining the evaluation result of the project based on the evaluation index system, the first weight, and the second weight comprises:
obtaining a third weight of the evaluation index system based on the first weight, the second weight and a preset coefficient, wherein the preset coefficient is used for representing the proportion of the first weight to the second weight:
obtaining the score value of each index in the evaluation index system;
and obtaining the evaluation result according to the third weight and the score value of each index.
3. The method of claim 1, wherein determining the first weight of the assessment indicator system using analytic hierarchy process comprises:
constructing a hierarchical structure model based on the evaluation index system;
constructing a judgment matrix based on the hierarchical structure model, wherein a first element in the judgment matrix and other elements except the first element have a membership relationship, and the element value of each element is used for representing the importance degree of the element;
and acquiring a feature vector corresponding to the judgment matrix to obtain the first weight.
4. The method of claim 3, wherein prior to deriving the first weight, the method further comprises:
carrying out consistency check on the feature vectors;
under the condition that the feature vector passes the verification, carrying out normalization processing on the feature vector to obtain the first weight;
and under the condition that the characteristic vector check fails, reconstructing the judgment matrix.
5. The method of claim 3, wherein constructing a decision matrix based on the hierarchy model comprises:
acquiring indexes with membership in the evaluation index system;
and taking the index with the membership relationship as a first element of the judgment matrix, and sequentially taking other indexes which belong to the first element as other elements in the judgment matrix.
6. The method of claim 1, wherein determining the second weight of the evaluation index system using entropy weighting comprises:
acquiring a preset data matrix, wherein elements in the preset data matrix are used for representing the relationship between a plurality of evaluation objects and the evaluation index system;
obtaining the entropy of the evaluation index system according to the preset data matrix;
and obtaining a second weight of the evaluation index system according to the entropy of the evaluation index system.
7. The method of claim 6, wherein obtaining the predetermined data matrix comprises:
acquiring an initial data matrix;
and standardizing the initial data matrix to obtain the preset data matrix.
8. The method of claim 1, wherein obtaining an assessment index system for a project comprises:
acquiring a comprehensive evaluation target of the project;
and decomposing the comprehensive evaluation target layer by layer to obtain the evaluation index system.
9. An engineering assessment apparatus, comprising:
the acquisition module is used for acquiring an evaluation index system of a project, wherein the evaluation index system comprises: a plurality of metrics for evaluating the project;
a first determination module for determining a first weight of the evaluation index system using an analytic hierarchy process;
a second determining module, configured to determine a second weight of the evaluation index system by using an entropy weight method;
and the processing module is used for obtaining the evaluation result of the project based on the evaluation index system, the first weight and the second weight.
10. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the project assessment method according to any one of claims 1 to 8.
11. A processor configured to run a program, wherein the program when running performs the engineering assessment method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810403686.7A CN108647869A (en) | 2018-04-28 | 2018-04-28 | Engineering Assessment Method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810403686.7A CN108647869A (en) | 2018-04-28 | 2018-04-28 | Engineering Assessment Method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108647869A true CN108647869A (en) | 2018-10-12 |
Family
ID=63748293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810403686.7A Pending CN108647869A (en) | 2018-04-28 | 2018-04-28 | Engineering Assessment Method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108647869A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109307854A (en) * | 2018-10-29 | 2019-02-05 | 中国电力科学研究院有限公司 | A kind of electric energy metering device comprehensive estimation method and system |
| CN111223206A (en) * | 2019-12-26 | 2020-06-02 | 北京航天测控技术有限公司 | Device evaluation method, device, terminal and computer readable medium |
| CN111582609A (en) * | 2019-11-20 | 2020-08-25 | 国网吉林省电力有限公司吉林供电公司 | Coal-to-electricity project optimization method and optimization system considering regional characteristics |
| CN111612320A (en) * | 2020-05-13 | 2020-09-01 | 国网河北省电力有限公司电力科学研究院 | Coal-to-electricity village-determining and household-determining method |
| CN111652147A (en) * | 2020-06-04 | 2020-09-11 | 中电建路桥集团有限公司 | Monitoring system and method for construction process of load reduction component in hollow floor system of underground garage |
| CN111723217A (en) * | 2020-01-06 | 2020-09-29 | 业达建设管理有限公司 | Engineering construction management robot control system, management method and robot |
-
2018
- 2018-04-28 CN CN201810403686.7A patent/CN108647869A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109307854A (en) * | 2018-10-29 | 2019-02-05 | 中国电力科学研究院有限公司 | A kind of electric energy metering device comprehensive estimation method and system |
| CN111582609A (en) * | 2019-11-20 | 2020-08-25 | 国网吉林省电力有限公司吉林供电公司 | Coal-to-electricity project optimization method and optimization system considering regional characteristics |
| CN111582609B (en) * | 2019-11-20 | 2023-04-25 | 国网吉林省电力有限公司吉林供电公司 | Coal-to-electricity project optimization method and optimization system considering regional characteristics |
| CN111223206A (en) * | 2019-12-26 | 2020-06-02 | 北京航天测控技术有限公司 | Device evaluation method, device, terminal and computer readable medium |
| CN111723217A (en) * | 2020-01-06 | 2020-09-29 | 业达建设管理有限公司 | Engineering construction management robot control system, management method and robot |
| CN111612320A (en) * | 2020-05-13 | 2020-09-01 | 国网河北省电力有限公司电力科学研究院 | Coal-to-electricity village-determining and household-determining method |
| CN111652147A (en) * | 2020-06-04 | 2020-09-11 | 中电建路桥集团有限公司 | Monitoring system and method for construction process of load reduction component in hollow floor system of underground garage |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108647869A (en) | Engineering Assessment Method and device | |
| CN103632203A (en) | Distribution network power supply area division method based on comprehensive evaluation | |
| CN106682809A (en) | Enterprise BIM technology application capability quantification assessment method | |
| CN110111024A (en) | Scientific and technological achievement market value evaluation method based on AHP fuzzy comprehensive evaluation model | |
| Liu et al. | Factor allocation, economic growth and unbalanced regional development in China | |
| CN111898839B (en) | Importance degree classification method and device for power users | |
| CN106709625A (en) | Electricity market demand response planning evaluation method | |
| CN109636467B (en) | Comprehensive evaluation method and system for brand Internet digital assets | |
| CN114139940A (en) | Generalized demand side resource network load interaction level assessment method based on combined empowerment-cloud model | |
| CN110751378A (en) | Nuclear facility decommissioning scheme evaluation method and system | |
| CN107679754A (en) | Power consumer satisfaction evaluation method based on advanced AHP and fuzzy theory | |
| CN106548413A (en) | A kind of power system energy storage fitness-for-service assessment method and system | |
| CN107169655A (en) | A kind of method and device of preferred power distribution network project compatibility | |
| CN115238167A (en) | Power consumer refined portrait and management method considering load and social information | |
| CN113222326A (en) | Method and device for evaluating maturity of scientific and technological resource service platform | |
| CN109636184B (en) | Method and system for evaluating account assets of brands | |
| CN105117820A (en) | Grain storage green degree evaluating method based on DEA-AHP | |
| CN103970651A (en) | Software architecture safety assessment method based on module safety attributes | |
| CN110991915A (en) | Power grid core index comprehensive benefit method based on data envelope analysis | |
| CN113327047B (en) | Power marketing service channel decision method and system based on fuzzy comprehensive model | |
| Farahani et al. | Car sales forecasting using artificial neural networks and analytical hierarchy process | |
| CN114862229A (en) | Power quality evaluation method and device, computer equipment and storage medium | |
| CN110837952A (en) | Game theory-based power grid new technology equipment selection method and system | |
| CN113159634A (en) | Financial product management method and device and electronic equipment | |
| CN112381422A (en) | Method and device for determining performance of photovoltaic power station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181012 |
|
| RJ01 | Rejection of invention patent application after publication |