CN113642929A - Determination method and device for tape quantity purchase business object and computer equipment - Google Patents
Determination method and device for tape quantity purchase business object and computer equipment Download PDFInfo
- Publication number
- CN113642929A CN113642929A CN202111018126.8A CN202111018126A CN113642929A CN 113642929 A CN113642929 A CN 113642929A CN 202111018126 A CN202111018126 A CN 202111018126A CN 113642929 A CN113642929 A CN 113642929A
- Authority
- CN
- China
- Prior art keywords
- tape
- index
- distance
- vector
- objects
- 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 38
- 239000013598 vector Substances 0.000 claims abstract description 245
- 238000011156 evaluation Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012552 review Methods 0.000 description 11
- 238000010606 normalization Methods 0.000 description 10
- 239000003814 drug Substances 0.000 description 5
- 230000007547 defect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 206010067484 Adverse reaction Diseases 0.000 description 2
- 230000006838 adverse reaction Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 235000006629 Prosopis spicigera Nutrition 0.000 description 1
- 240000000037 Prosopis spicigera Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method and a device for determining a tape quantity purchase business object and computer equipment, which mainly aim to improve the selection accuracy and the selection efficiency of the tape quantity purchase business object. The method comprises the following steps: acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector; determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance. The invention relates to the technical field of digital medical treatment.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a method and a device for determining a tape-volume purchasing business object and computer equipment.
Background
With the clear and deepened national centralized quantity-carrying purchasing system of medicines and the rise of artificial intelligence technology, more and more provinces, cities and union areas urgently need to develop local organization station bidding business so as to respond the requirement of the nation on the normalization and systematization of carrying out quantity-carrying purchasing, how to effectively assist the government in selecting qualified quantity-carrying purchasing business objects and have important significance for guaranteeing the quality of selected medicines.
Currently, an appropriate volume purchasing business object is generally selected in an expert review mode. However, due to the uneven business level of the experts, the review results given by different experts are likely to be different, and this method too depends on the expertise, so that the accuracy of the review results is not high, and the government cannot be effectively assisted in selecting the appropriate quantity purchasing business object, and in addition, this manual review method may affect the selection efficiency of the quantity purchasing business object.
Disclosure of Invention
The invention provides a method and a device for determining a tape quantity purchase business object and computer equipment, which are mainly used for improving the selection accuracy and the selection efficiency of the tape quantity purchase business object.
According to a first aspect of the present invention, there is provided a method for determining a tape-measure procurement business object, comprising:
acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together;
calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
According to a second aspect of the present invention, there is provided an apparatus for determining a tape measure procurement business object, comprising:
the acquisition unit is used for acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
a first determining unit, configured to determine, according to the first index data, index vectors corresponding to the multiple volume-bearing procurement business objects, and a positive ideal vector and a negative ideal vector corresponding to the multiple volume-bearing procurement business objects together;
the calculation unit is used for calculating a first distance from the multiple tape quantity purchase service objects to the positive ideal vector and a second distance from the multiple tape quantity purchase service objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
and the second determining unit is used for determining a target tape amount purchasing business object from the plurality of tape amount purchasing business objects based on the first distance and the second distance.
According to a third aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together;
calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
According to a fourth aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the program:
acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together;
calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
According to the method, the device and the computer equipment for determining the tape quantity purchase service object, compared with the mode that an expert selects a proper tape quantity purchase service object through review at present, the method obtains first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; meanwhile, according to the index vector, the positive ideal vector and the negative ideal vector, calculating a first distance from the multiple tape quantity purchase business objects to the positive ideal vector and a second distance from the multiple tape quantity purchase business objects to the negative ideal vector respectively; and finally, determining a target tape quantity purchasing business object from the plurality of tape quantity purchasing business objects based on the first distance and the second distance, thereby improving the accuracy of selecting the tape quantity purchasing business object by calculating the first distance from the positive ideal vector and the second distance from the negative ideal vector of the plurality of tape quantity purchasing business objects, effectively assisting the government in selecting the proper tape quantity purchasing business object, reducing the labor cost and improving the selection efficiency of the tape quantity purchasing business object.
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 for determining a tape-measure procurement business object according to an embodiment of the invention;
FIG. 2 is a flow chart of another method for determining a tape procurement business object according to the embodiment of the invention;
FIG. 3 is a schematic structural diagram of a device for determining a tape procurement business object according to an embodiment of the invention;
FIG. 4 is a schematic structural diagram of another device for determining a volume procurement business object according to the embodiment of the invention;
fig. 5 shows a physical structure diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
At present, a proper method for selecting the quantity-carrying purchase service object through expert review causes low accuracy of a review result due to uneven service levels of experts, and meanwhile, the manual review method affects selection efficiency of the quantity-carrying purchase service object.
In order to solve the above problem, an embodiment of the present invention provides a method for determining a volume procurement business object, as shown in fig. 1, where the method includes:
101. first index data of a plurality of tape quantity purchasing business objects under different index dimensions are obtained.
The volume procurement business object can be an enterprise participating in bidding, different index dimensions can be divided into a very large (beneficial) index, a very small (cost) index, an intermediate index, an interval index, a prerequisite index and an objective index, the very large index specifically comprises market share, profit, delivery rate, procurement volume proportion, supply range and the like, the very small index specifically comprises clinical adverse reaction, false and inferior medicine record, product quotation, industry ranking and the like, the intermediate index specifically comprises quotation reduction amplitude, the interval index specifically comprises a reference preparation, clinical curative effect, safety and the like, the prerequisite index specifically comprises consistency evaluation and medicine quality inspection, and the objective index specifically comprises GMP authentication, new medicine special varieties, demonstration and innovation enterprises and the like.
For the embodiment of the invention, in order to overcome the defects that the government cannot be effectively assisted in selecting the proper quantity purchasing business object and the selection efficiency of the quantity purchasing business object is low in the prior art, the embodiment of the invention calculates the first distance between the quantity purchasing business object and the positive ideal vector and the second distance between the quantity purchasing business object and the negative ideal vector respectively, and screens out the target quantity purchasing business object from a plurality of quantity purchasing business objects based on the first distance and the second distance, so that the defect that the accuracy of the evaluation result is low due to uneven business level of experts can be avoided, the government can be effectively assisted in selecting the proper quantity purchasing business object, and the selection efficiency of the quantity purchasing business object is improved. The embodiment of the invention can also collect the evaluation grades corresponding to a large number of sample business objects in advance, label the sample business objects based on the evaluation grades, use the labeled sample business objects as training data, construct an evaluation grade evaluation model based on the training data by using a machine learning algorithm, evaluate the evaluation grades of the procurement business objects with the quantity to be evaluated by using the evaluation grade evaluation model, and further obtain the evaluation grades corresponding to the procurement business objects with the quantity. The embodiment of the invention is mainly applied to a scene of selecting the volume procurement business object, and the execution main body of the embodiment of the invention is a device or equipment capable of selecting the volume procurement business object, and can be specifically arranged at one side of a client or a server.
Specifically, in order to select an appropriate volume procurement business object from the plurality of volume procurement business objects, first of all, index data of the plurality of volume procurement business objects in different index dimensions is collected from history data corresponding to the plurality of volume procurement business objects participating in bidding, so that index vectors corresponding to the plurality of volume procurement business objects are determined by using the index data.
102. And determining index vectors corresponding to the multiple quantity-carrying procurement business objects respectively and positive ideal vectors and negative ideal vectors corresponding to the multiple quantity-carrying procurement business objects together according to the first index data.
For the embodiment of the present invention, after first index data of a plurality of tape quantity procurement business objects under different index dimensions are obtained from historical data, normalization processing needs to be performed on the first index data to obtain second index data, and according to the second index data, index vectors corresponding to the plurality of tape quantity procurement business objects are determined, for example, if the first index data of the first tape quantity procurement business object under different index dimensions is normalized (the second index data) to be c1jIf the index vector corresponding to the first tape quantity purchase service object is c1＝{c11,c12,......c1nAnd d, standardizing first index data (second index data) of the mth tape quantity purchase service object under different index dimensions to obtain cmjIf the m-th tape-quantity purchase service object corresponds to the index vector cm＝{cm1,cm2,......cmnJ ═ 1, 2.· n.
Further, aiming at different index dimensions, determining the maximum second index data and the minimum second index data from the second index data respectively corresponding to the multiple quantitative purchasing business objects, determining a positive ideal vector corresponding to a plurality of tape quantity purchase service objects together according to the maximum second index data under different index dimensions, meanwhile, according to the minimum second index data under different index dimensions, a negative ideal vector corresponding to a plurality of tape quantity purchasing business objects together is determined, so as to calculate a first distance and a second distance of the plurality of tape-amount purchase service objects from the positive ideal vector and the negative ideal vector respectively according to the index vector, the positive ideal vector and the negative ideal vector, and determining the target tape quantity purchasing business object according to the first distance and the second distance, thereby avoiding the defect of low evaluation accuracy caused by uneven expert level.
103. And calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector.
For the embodiment of the present invention, after the index vector, the positive ideal vector and the negative ideal vector are obtained according to the first index data, the difference between each index component in the index vector corresponding to each of the tape quantity procurement business objects and each positive ideal component in the positive ideal vector needs to be calculated, then the sum of squares is calculated for all the differences to obtain the first distance between each of the tape quantity procurement business objects and the positive ideal vector, the difference between each index component in the index vector corresponding to each of the tape quantity procurement business objects and each negative ideal component in the negative ideal vector is calculated in a similar manner, then the sum of squares is calculated for all the differences to obtain the second distance between each of the tape quantity procurement business objects and the negative ideal vector, so as to determine the target tape quantity procurement business object in the tape quantity procurement business objects according to the calculated first distance and second distance, therefore, the first distance between the plurality of tape quantity purchasing business objects and the positive ideal vector and the second distance between the plurality of tape quantity purchasing business objects and the negative ideal vector are calculated, and the target tape quantity purchasing business object is determined according to the first distance and the second distance, so that the workload and the cost of manual review can be reduced, and the selection efficiency of the tape quantity purchasing business object is improved.
104. Determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
Wherein the target tape quantity procurement business object is an appropriate tape quantity procurement business object selected by the government.
For the embodiment of the invention, in order to select the proper quantity procurement business object from the quantity procurement business objects, the scores corresponding to the quantity procurement business objects are determined according to the first distance between the quantity procurement business objects and the positive ideal vector and the second distance between the quantity procurement business objects and the negative ideal vector, and the target quantity procurement business object is selected from the quantity procurement business objects according to the scores, so that the proper quantity procurement business object can be selected by the government, the defect of low evaluation accuracy caused by uneven expert level is avoided, and the selection accuracy of the quantity procurement business object is improved.
According to the method for determining the tape quantity purchase service object, compared with the mode that an expert selects a proper tape quantity purchase service object through review at present, the method obtains first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; meanwhile, according to the index vector, the positive ideal vector and the negative ideal vector, calculating a first distance from the multiple tape quantity purchase business objects to the positive ideal vector and a second distance from the multiple tape quantity purchase business objects to the negative ideal vector respectively; and finally, determining a target tape quantity purchasing business object from the plurality of tape quantity purchasing business objects based on the first distance and the second distance, thereby improving the accuracy of selecting the tape quantity purchasing business object by calculating the first distance from the positive ideal vector and the second distance from the negative ideal vector of the plurality of tape quantity purchasing business objects, effectively assisting the government in selecting the proper tape quantity purchasing business object, reducing the labor cost and improving the selection efficiency of the tape quantity purchasing business object.
Further, in order to better describe the above determining process for the volume procurement business object, as a refinement and an extension of the above embodiment, an embodiment of the present invention provides another determining method for the volume procurement business object, as shown in fig. 2, where the method includes:
201. first index data of a plurality of tape quantity purchasing business objects under different index dimensions are obtained.
For the embodiment of the invention, the first index data of the multiple tape quantity purchase service objects under the index dimensionalities of a maximum index, a minimum index, an intermediate index, an interval index, a prior index, an objective index and the like are obtained from the historical database corresponding to the multiple tape quantity purchase service objects, and the index vectors corresponding to the multiple tape quantity purchase service objects respectively and the positive ideal vector and the negative ideal vector corresponding to the multiple tape quantity purchase service objects together are determined according to the first index data.
202. And determining index vectors corresponding to the multiple quantity-carrying procurement business objects respectively and positive ideal vectors and negative ideal vectors corresponding to the multiple quantity-carrying procurement business objects together according to the first index data.
For the embodiment of the present invention, in order to determine the index vectors corresponding to the multiple volume-bearing procurement business objects, respectively, and the positive ideal vector and the negative ideal vector corresponding to the multiple volume-bearing procurement business objects, step 202 specifically includes: carrying out standardization processing on the first index data to obtain second index data of the multiple tape quantity purchase service objects under different index dimensions respectively; determining components under different index dimensions based on the second index data, and determining index vectors corresponding to the multiple tape quantity purchase service objects respectively according to the components; determining the maximum second index data and the minimum second index data in the second index data respectively corresponding to the multiple tape quantity purchasing business objects according to the different index dimensions; and respectively constructing a positive ideal vector and a negative ideal vector which are commonly corresponding to the multiple tape quantity purchasing business objects based on the maximum second index data and the minimum second index data under different index dimensions.
Specifically, because the evaluation criteria corresponding to the indexes of different dimensions are different, and there may also be differences in the types and dimensions of the index data, for example, the larger the distribution rate in the very large index is, the better the distribution rate is, and the smaller the adverse reaction in the very small index is, the better the distribution rate is, therefore, in order to improve the accuracy of selecting the volume procurement business object, the first index data needs to be standardized to obtain the second index data, and specifically, the method of standardizing the first index data is as follows: normalizing the first index data to obtain third index data of the multiple tape quantity purchasing service objects under different index dimensions respectively; and determining index weights corresponding to the different index dimensions, and multiplying the index weights by the third index data under the corresponding dimensions to obtain second index data of the multiple tape quantity purchase service objects under the different index dimensions respectively.
For the embodiment of the present invention, a specific formula for performing normalization processing on the first index data is as follows:
wherein, aijRepresenting the first index data of the ith volume procurement business object in the index dimension j, bijRepresenting the third index data obtained after normalization processing, wherein the third index data has m quantity-carrying purchase service objects and n indexes, and normalizing the first index data of the quantity-carrying purchase service objects under different index dimensions respectively according to the formula to obtain normalized index data, namely the third index data.
Further, because the importance degrees corresponding to different index dimensions are different, the index weight corresponding to each index dimension can be determined according to actual business requirements, the higher the index weight is, the higher the importance degree corresponding to the representative index dimension is, after the index weights corresponding to different index dimensions are determined, the third index data obtained after normalization processing under different index dimensions are multiplied by the corresponding index weights, so as to obtain the second index data of a plurality of tape quantity purchase business objects under different index dimensions, and the specific formula is as follows:
cij＝wj·bij,i＝1,2,...,m；j＝1,2,...,n
wherein the content of the first and second substances,cijis weighted second index data, wjThe weight of the index corresponding to the jth index, bijIs the third index data.
Further, after determining second index data of the multiple tape quantity procurement business objects under different index dimensions respectively, according to the second index data, components of the same tape quantity procurement business object under different index dimensions respectively are determined respectively, according to the components, index vectors corresponding to the tape quantity procurement business objects under different index dimensions can be determined, according to the method, index vectors corresponding to the multiple tape quantity procurement business objects respectively can be determined, for example, if the second index data of the first tape quantity procurement business object weighted under different index dimensions is c1jThe component of the first volume procurement business object under different index dimensions is c11，c12，...，c1nThe corresponding index vector is C1＝{c11,c12,...,c1n}; if the second index data of the mth tape measure purchase business object after weighting under different index dimensions is cmjIf the component of the mth tape quantity purchase service object in different index dimensions is cm1，cm2，...，cmnThe corresponding index vector is Cm＝{cm1,cm2,...,cmn}。
Further, in order to determine the positive ideal vector and the negative ideal vector, second index data c of a plurality of tape-amount purchase business objects under different index dimensions is determinedijThen, for different index dimensions j, determining the maximum second index data in the index data corresponding to the multiple procurement business objects with volume, and constructing a positive ideal vector C ═ (max { C) based on the maximum second index data under different index dimensions11,c21,c31,...,cm1}，max{c12,c22,c32,...,cm2}，...，max{c1n,c2n,c3n,...,cmn}) of the multiple traffic data, determining index data corresponding to the multiple traffic data with volume procurement service objects respectively according to different index dimensions jAnd constructing a negative ideal vector C based on the minimum second index data under different index dimensions0＝(min{c11,c21,c31,...,cm1}，min{c12,c22,c32,...,cm2}，...，min{c1n,c2n,c3n,...,cmnAnd) calculating a first distance from the multiple volume procurement business objects to the positive ideal vector and a second distance from the multiple volume procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector respectively corresponding to the multiple volume procurement business objects.
203. And calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector.
For the embodiment of the present invention, in order to calculate the first distance from the multiple tape-quantity procurement business objects to the positive ideal vector and the second distance from the multiple tape-quantity procurement business objects to the negative ideal vector, step 203 specifically includes: subtracting each component in the index vector from each component in the positive ideal vector correspondingly, and then calculating a sum of squares to obtain first distances between the multiple tape quantity purchase service objects and the positive ideal vector respectively; and correspondingly subtracting each component in the index vector from each component in the negative ideal vector, and then calculating the sum of squares to obtain second distances between the multiple tape quantity purchasing service objects and the negative ideal vector respectively.
Specifically, after determining index components and index vectors of a plurality of tape quantity procurement business objects under different index dimensions and a positive ideal vector and a negative ideal vector which correspond to the plurality of tape quantity procurement business objects together, subtracting components in the index vectors corresponding to the plurality of tape quantity procurement business objects from the components in the positive ideal vector respectively, and then calculating a square sum to obtain first distances from the tape quantity procurement business objects to the positive ideal vector respectively, wherein a specific calculation formula for the first distances is as follows:
wherein D isi *Representing the distance of the ith metered procurement business object from the positive ideal vector, cijPurchasing index vectors, C, of business objects in different index dimensions for the ith band sizej *Is a positive ideal vector. Similarly, second distances from the multiple quantity-bearing procurement business objects to the negative ideal vector can be calculated according to each component in the index vector and each component in the negative ideal vector respectively corresponding to the multiple quantity-bearing procurement business objects, and a specific calculation formula for the second distances is as follows:
wherein D isi 0A second distance, c, representing the distance of the ith tape-procurement business object from the negative ideal vectorijPurchasing index vectors, C, of business objects in different index dimensions for the ith band sizej 0Is a negative ideal vector.
204. And evaluating the multiple tape quantity purchasing service objects based on the first distance and the second distance to obtain evaluation results corresponding to the multiple tape quantity purchasing service objects respectively.
For the embodiment of the present invention, in order to evaluate a plurality of tape quantity procurement business objects and obtain an evaluation result, step 204 specifically includes: adding the first distances and the second distances corresponding to the multiple tape quantity purchasing service objects respectively to obtain total distances corresponding to the multiple tape quantity purchasing service objects respectively; and dividing the second distance with the total distance to obtain scores corresponding to the multiple tape quantity purchasing service objects respectively.
Specifically, after a first distance between each of the plurality of tape quantity purchase service objects and a positive ideal vector and a second distance between each of the plurality of tape quantity purchase service objects and a negative ideal vector are obtained, the first distance and the second distance are added to obtain a total distance corresponding to each of the plurality of tape quantity purchase service objects, and then the second distance and the total distance are divided to finally obtain scores corresponding to each of the plurality of tape quantity purchase service objects, wherein the specific formula is as follows:
wherein S isiCorresponding rating for ith volume procurement business object, Di 0Purchasing the distance of the business object from the negative ideal vector for the ith bandi *For the ith tape measure, purchasing the distance between the business object and the positive ideal vector, and obtaining S through the formulaiThe larger, Di *The smaller, i.e., when the score is higher, the closer the volume procurement business object is to the positive ideal vector, while being farther from the negative ideal vector.
205. And determining a target tape amount purchasing business object from the plurality of tape amount purchasing business objects based on the evaluation result.
For the embodiment of the present invention, after calculating the scores corresponding to the multiple tape quantity procurement business objects, in order to determine the target tape quantity procurement business object from the multiple tape quantity procurement business objects according to the scores, step 205 specifically includes: and determining the highest score in the multiple scores, and determining the tape quantity purchasing service object corresponding to the highest score as a target tape quantity purchasing service object, specifically, because the higher the score is, the closer the tape quantity purchasing service object is to a positive ideal vector, selecting the highest score from the scores respectively corresponding to the multiple tape quantity purchasing service objects, wherein the tape quantity purchasing service object corresponding to the highest score is the target tape quantity purchasing service object, namely, a proper tape quantity purchasing service object selected by the government.
According to another method, device, storage medium and computer equipment for determining the tape quantity purchase service object, compared with the mode that an expert selects a proper tape quantity purchase service object through review at present, the method obtains first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; meanwhile, according to the index vector, the positive ideal vector and the negative ideal vector, calculating a first distance from the multiple tape quantity purchase business objects to the positive ideal vector and a second distance from the multiple tape quantity purchase business objects to the negative ideal vector respectively; and finally, determining a target tape quantity purchasing business object from the plurality of tape quantity purchasing business objects based on the first distance and the second distance, thereby improving the accuracy of selecting the tape quantity purchasing business object by calculating the first distance from the positive ideal vector and the second distance from the negative ideal vector of the plurality of tape quantity purchasing business objects, effectively assisting the government in selecting the proper tape quantity purchasing business object, reducing the labor cost and improving the selection efficiency of the tape quantity purchasing business object.
Further, as a specific implementation of fig. 1, an embodiment of the present invention provides an apparatus for determining a tape procurement business object, and as shown in fig. 3, the apparatus includes: an acquisition unit 31, a first determination unit 32, a calculation unit 33, and a second determination unit 34.
The obtaining unit 31 may be configured to obtain first index data of the multiple tape procurement business objects in different index dimensions.
The first determining unit 32 may be configured to determine, according to the first index data, index vectors corresponding to the multiple procurement with tape quantities business objects, respectively, and a positive ideal vector and a negative ideal vector corresponding to the multiple procurement with tape quantities business objects in common.
The calculating unit 33 may be configured to calculate, according to the indicator vector, the positive ideal vector and the negative ideal vector, a first distance from the positive ideal vector and a second distance from the negative ideal vector to the multiple tape-amount-procurement business objects, respectively.
The second determining unit 34 may be configured to determine a target tape amount procurement business object from the plurality of tape amount procurement business objects based on the first distance and the second distance.
In a specific application scenario, in order to determine the index vector corresponding to each of the multiple volume procurement business objects, and the positive ideal vector and the negative ideal vector corresponding to each of the multiple volume procurement business objects, as shown in fig. 4, the first determining unit 32 includes a normalizing module 321, a first determining module 322, a second determining module 323, and a constructing module 324.
The normalizing module 321 may be configured to perform normalization processing on the first index data to obtain second index data of the multiple tape quantity procurement business objects under different index dimensions.
The first determining module 322 may be configured to determine components under the different indicator dimensions based on the second indicator data, and determine, according to the components, indicator vectors corresponding to the multiple tape procurement business objects, respectively.
The second determining module 323 may be configured to determine, for the different indicator dimensions, a maximum second indicator data and a minimum second indicator data in the second indicator data respectively corresponding to the multiple tape procurement business objects.
The constructing module 324 may be configured to respectively construct a positive ideal vector and a negative ideal vector corresponding to the multiple tape procurement business objects together based on the maximum second indicator data and the minimum second indicator data in different indicator dimensions.
In a specific application scenario, in order to obtain second index data of the multiple tape quantity procurement business objects under different index dimensions, the normalization module 321 includes a normalization sub-module and a multiplication sub-module.
The normalization submodule may be configured to perform normalization processing on the first index data to obtain third index data of the multiple tape quantity purchasing service objects in different index dimensions, respectively.
The multiplication submodule may be configured to determine the index weights corresponding to the different index dimensions, and multiply the index weights with the third index data in the corresponding dimension to obtain second index data of the multiple tape quantity purchase service objects in different index dimensions, respectively.
In a specific application scenario, in order to obtain a first distance from each of the multiple tape quantity procurement business objects to a positive ideal vector and a second distance from each of the multiple tape quantity procurement business objects to a negative ideal vector, the calculation unit 33 may be specifically configured to subtract each component in the indicator vector from each component in the positive ideal vector correspondingly and then calculate a sum of squares to obtain first distances from each of the multiple tape quantity procurement business objects to the positive ideal vector; and simultaneously subtracting the components in the index vector from the components in the negative ideal vector correspondingly and then calculating the sum of squares to obtain second distances between the multiple tape quantity purchasing service objects and the negative ideal vector respectively.
In a specific application scenario, in order to determine the target tape volume procurement business object, the second determination unit 34 includes an evaluation module 341 and a third determination module 342.
The evaluation module 341 is configured to evaluate the multiple volume procurement business objects based on the first distance and the second distance, so as to obtain evaluation results corresponding to the multiple volume procurement business objects, respectively.
The third determining module 342 may be configured to determine a target tape amount procurement business object from the plurality of tape amount procurement business objects based on the evaluation result.
In a specific application scenario, in order to obtain an evaluation result corresponding to a plurality of procurement with quantity service objects, the evaluation module 341 includes an adding submodule and a dividing submodule.
The adding sub-module may be configured to add the first distances and the second distances corresponding to the multiple volume procurement business objects, respectively, to obtain total distances corresponding to the multiple volume procurement business objects, respectively.
The division submodule may be configured to divide the second distance and the total distance to obtain scores corresponding to the multiple volume procurement business objects, respectively.
In a specific application scenario, in order to determine the target volume procurement business object, the third determining module 342 may be specifically configured to determine a highest score of the multiple scores, and determine the volume procurement business object corresponding to the highest score as the target volume procurement business object.
It should be noted that other corresponding descriptions of the functional modules involved in the device for determining a volume procurement business object provided by the embodiment of the present invention may refer to the corresponding descriptions of the method shown in fig. 1, and are not described herein again.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps: acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector; determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 3, an embodiment of the present invention further provides an entity structure diagram of a computer device, as shown in fig. 5, where the computer device includes: a processor 41, a memory 42, and a computer program stored on the memory 42 and executable on the processor, wherein the memory 42 and the processor 41 are both arranged on a bus 43 such that when the processor 41 executes the program, the following steps are performed: acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector; determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
According to the technical scheme, the first index data of the multiple tape quantity purchasing business objects under different index dimensions are obtained; according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together; meanwhile, according to the index vector, the positive ideal vector and the negative ideal vector, calculating a first distance from the multiple tape quantity purchase business objects to the positive ideal vector and a second distance from the multiple tape quantity purchase business objects to the negative ideal vector respectively; and finally, determining a target tape quantity purchasing business object from the plurality of tape quantity purchasing business objects based on the first distance and the second distance, thereby improving the accuracy of selecting the tape quantity purchasing business object by calculating the first distance from the positive ideal vector and the second distance from the negative ideal vector of the plurality of tape quantity purchasing business objects, effectively assisting the government in selecting the proper tape quantity purchasing business object, reducing the labor cost and improving the selection efficiency of the tape quantity purchasing business object.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining a tape-amount procurement business object is characterized by comprising the following steps:
acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
according to the first index data, determining index vectors corresponding to the multiple tape quantity purchase service objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the multiple tape quantity purchase service objects together;
calculating a first distance from the plurality of tape procurement business objects to the positive ideal vector and a second distance from the plurality of tape procurement business objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance.
2. The method of claim 1, wherein the determining, according to the first indicator data, indicator vectors corresponding to the plurality of volume procurement business objects respectively, and positive ideal vectors and negative ideal vectors corresponding to the plurality of volume procurement business objects together comprises:
carrying out standardization processing on the first index data to obtain second index data of the multiple tape quantity purchase service objects under different index dimensions respectively;
determining components under different index dimensions based on the second index data, and determining index vectors corresponding to the multiple tape quantity purchase service objects respectively according to the components;
determining the maximum second index data and the minimum second index data in the second index data respectively corresponding to the multiple tape quantity purchasing business objects according to the different index dimensions;
and respectively constructing a positive ideal vector and a negative ideal vector which are commonly corresponding to the multiple tape quantity purchasing business objects based on the maximum second index data and the minimum second index data under different index dimensions.
3. The method of claim 2, wherein the normalizing the first index data to obtain second index data of the plurality of tape procurement business objects under different index dimensions respectively comprises:
normalizing the first index data to obtain third index data of the multiple tape quantity purchasing service objects under different index dimensions respectively;
and determining index weights corresponding to the different index dimensions, and multiplying the index weights by the third index data under the corresponding dimensions to obtain second index data of the multiple tape quantity purchase service objects under the different index dimensions respectively.
4. The method of any one of claims 1-3, wherein said calculating a first distance from said positive ideal vector and a second distance from said negative ideal vector for said plurality of tape-procurement business objects, respectively, based on said indicator vector, said positive ideal vector and said negative ideal vector comprises:
subtracting each component in the index vector from each component in the positive ideal vector correspondingly, and then calculating a sum of squares to obtain first distances between the multiple tape quantity purchase service objects and the positive ideal vector respectively;
and correspondingly subtracting each component in the index vector from each component in the negative ideal vector, and then calculating the sum of squares to obtain second distances between the multiple tape quantity purchasing service objects and the negative ideal vector respectively.
5. The method of claim 1, wherein determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the first distance and the second distance comprises:
evaluating the multiple tape quantity purchase service objects based on the first distance and the second distance to obtain evaluation results corresponding to the multiple tape quantity purchase service objects respectively;
and determining a target tape amount purchasing business object from the plurality of tape amount purchasing business objects based on the evaluation result.
6. The method of claim 5, wherein the evaluating the plurality of tape procurement business objects based on the first distance and the second distance to obtain evaluation results corresponding to the plurality of tape procurement business objects, respectively, comprises:
adding the first distances and the second distances corresponding to the multiple tape quantity purchasing service objects respectively to obtain total distances corresponding to the multiple tape quantity purchasing service objects respectively;
and dividing the second distance with the total distance to obtain scores corresponding to the multiple tape quantity purchasing service objects respectively.
7. The method of claim 6, wherein said determining a target tape volume procurement business object from the plurality of tape volume procurement business objects based on the evaluation results comprises:
and determining the highest score in the multiple scores, and determining the volume procurement business object corresponding to the highest score as a target volume procurement business object.
8. An apparatus for determining a tape-procurement business object, comprising:
the acquisition unit is used for acquiring first index data of a plurality of tape quantity purchase service objects under different index dimensions respectively;
a first determining unit, configured to determine, according to the first index data, index vectors corresponding to the multiple volume-bearing procurement business objects, and a positive ideal vector and a negative ideal vector corresponding to the multiple volume-bearing procurement business objects together;
the calculation unit is used for calculating a first distance from the multiple tape quantity purchase service objects to the positive ideal vector and a second distance from the multiple tape quantity purchase service objects to the negative ideal vector according to the index vector, the positive ideal vector and the negative ideal vector;
and the second determining unit is used for determining a target tape amount purchasing business object from the plurality of tape amount purchasing business objects based on the first distance and the second distance.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
10. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 7 when executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111018126.8A CN113642929A (en) | 2021-08-30 | 2021-08-30 | Determination method and device for tape quantity purchase business object and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111018126.8A CN113642929A (en) | 2021-08-30 | 2021-08-30 | Determination method and device for tape quantity purchase business object and computer equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113642929A true CN113642929A (en) | 2021-11-12 |
Family
ID=78424772
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111018126.8A Pending CN113642929A (en) | 2021-08-30 | 2021-08-30 | Determination method and device for tape quantity purchase business object and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113642929A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106655181A (en) * | 2017-03-03 | 2017-05-10 | 广东电网有限责任公司惠州供电局 | Priority setting method and system for power grid nodes |
| CN108364183A (en) * | 2018-01-22 | 2018-08-03 | 大连理工大学 | Based on the method for approaching the ideal point promise breaking maximum credit rating optimal weights vector of distinguishing ability |
| CN109272419A (en) * | 2017-07-17 | 2019-01-25 | 国网青海省电力公司经济技术研究院 | A kind of power distribution network formula investing methods of comparison and selection based on optimal solution |
| CN109409703A (en) * | 2018-10-10 | 2019-03-01 | 南方电网科学研究院有限责任公司 | A kind of preferred method of flexible HVDC transmission system voltage class |
| CN112132514A (en) * | 2020-09-24 | 2020-12-25 | 哈尔滨工程大学 | Material purchase assessment method |
-
2021
- 2021-08-30 CN CN202111018126.8A patent/CN113642929A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106655181A (en) * | 2017-03-03 | 2017-05-10 | 广东电网有限责任公司惠州供电局 | Priority setting method and system for power grid nodes |
| CN109272419A (en) * | 2017-07-17 | 2019-01-25 | 国网青海省电力公司经济技术研究院 | A kind of power distribution network formula investing methods of comparison and selection based on optimal solution |
| CN108364183A (en) * | 2018-01-22 | 2018-08-03 | 大连理工大学 | Based on the method for approaching the ideal point promise breaking maximum credit rating optimal weights vector of distinguishing ability |
| CN109409703A (en) * | 2018-10-10 | 2019-03-01 | 南方电网科学研究院有限责任公司 | A kind of preferred method of flexible HVDC transmission system voltage class |
| CN112132514A (en) * | 2020-09-24 | 2020-12-25 | 哈尔滨工程大学 | Material purchase assessment method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Emrouznejad et al. | An overall profit Malmquist productivity index with fuzzy and interval data | |
| US20140025418A1 (en) | Clustering Based Resource Planning, Work Assignment, and Cross-Skill Training Planning in Services Management | |
| WO2016084642A1 (en) | Credit examination server, credit examination system, and credit examination program | |
| Türegün | Financial performance evaluation by multi-criteria decision-making techniques | |
| CN112396211B (en) | Data prediction method, device, equipment and computer storage medium | |
| RU2733485C1 (en) | System and method of processing data for integrated assessment of scientific and technological project maturity based on the use of a set of parameters | |
| Chen et al. | An extreme-distance approach to multiple criteria ranking | |
| CN109740036B (en) | Hotel ordering method and device for OTA platform | |
| CN111784109A (en) | Supplier selection method based on Bidagolas fuzzy set and VIKOR | |
| Basri et al. | The efficiency of Islamic banks in Malaysia: Based on DEA and Malmquist productivity index | |
| CN102163304A (en) | Method and system for collaborative networking with optimized inter-domain information quality assessment | |
| Wanke et al. | Revisiting camels rating system and the performance of Asean banks: a comprehensive mcdm/z-numbers approach | |
| CN113052411A (en) | Data product quality evaluation method and device | |
| CN114037504A (en) | Collection, recruitment and bidding system based on Internet | |
| CN111337956B (en) | Method and device for comprehensively evaluating performance of navigation receiver | |
| CN112116969B (en) | Information recommendation method and device, storage medium and computer equipment | |
| CN109460778B (en) | Activity evaluation method, activity evaluation device, electronic equipment and storage medium | |
| Hosen et al. | The comparison of sound level of Islamic banks in Indonesia and Malaysia | |
| CN113642929A (en) | Determination method and device for tape quantity purchase business object and computer equipment | |
| CN113435713B (en) | Risk map compiling method and system based on GIS technology and two-model fusion | |
| Williams | Re-examining procurement tenders with respect to price: a transaction cost model of Portland procurement agencies | |
| Krishnan et al. | A modified CRITIC method to estimate the objective weights of decision criteria. Symmetry 2021, 13, 973 | |
| CN114282976A (en) | Supplier recommendation method and device, electronic equipment and medium | |
| CN109472455B (en) | Activity evaluation method, activity evaluation device, electronic equipment and storage medium | |
| CN109472454B (en) | Activity evaluation method, activity evaluation device, electronic equipment and storage medium |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220523 Address after: 518000 China Aviation Center 2901, No. 1018, Huafu Road, Huahang community, Huaqiang North Street, Futian District, Shenzhen, Guangdong Province Applicant after: Shenzhen Ping An medical and Health Technology Service Co.,Ltd. Address before: Room 12G, Area H, 666 Beijing East Road, Huangpu District, Shanghai 200001 Applicant before: PING AN MEDICAL AND HEALTHCARE MANAGEMENT Co.,Ltd. |