CN112464109A - Searching method and device for analyzing supplier association by using association relation - Google Patents
Searching method and device for analyzing supplier association by using association relation Download PDFInfo
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Abstract
The invention discloses a searching method for analyzing supplier association by using an association relation, which comprises the following steps: establishing a correlation index system of suppliers in the bidding system; acquiring each piece of associated index information and performing data preprocessing; weighting the association relation of each supplier through a weighting method; and analyzing the association relation of the suppliers and outputting a search result. The method can meet the searching requirement of the associated supplier information, can provide data required by customized searching, has strong pertinence and high efficiency of the associated supplier information searched by the association relation, can further effectively reduce the searching cost of the associated suppliers, and simultaneously avoids the phenomenon of label enclosing or label stringing among the suppliers.
Description
Technical Field
The invention relates to the technical field of incidence relations, in particular to a searching method and a searching device for analyzing provider incidence by using an incidence relation.
Background
Vendor association refers to the relationship between a high-master, such as a vendor's stockholder, physical controller, board of directors, or supervisor, and the vendor it directly or indirectly controls, as well as other relationships that may result in a transfer of interest to the company. The association relation among the suppliers is increasingly complicated, time and labor are consumed for searching the associated suppliers through manual inquiry, efficiency can be improved by effectively and quickly searching the associated suppliers, time is shortened, loss caused by the risk of the suppliers is avoided, and purchasing quality is improved. Therefore, the existing method for inquiring the associated supplier of the supplier by the supplier has the problems of large inquiry data volume but poor pertinence, low inquiry efficiency and high inquiry cost.
Disclosure of Invention
Aiming at the problem of the complaint, the invention provides a searching method and a searching device for analyzing supplier association by using an association relation.
In order to solve the above technical problem, a first aspect of the present invention provides a lookup method for analyzing provider association using an association relationship, including the following steps:
s1, establishing a correlation index system of a supplier in a bidding system;
s2, acquiring each piece of associated index information and carrying out data preprocessing;
s3, weighting the association relation of each supplier through a weight method;
and S4, analyzing the association relation of the suppliers and outputting a search result.
Preferably, in step S1, the association index system includes the supplier information, total branch information, historical bid, quotation behavior, bidding habits, supplier performance capability and quality level of the supplier.
Preferably, in step S2, the data preprocessing specifically includes: carrying out dimensionless treatment on each index data on the basis of supplier associated indexes, setting an initial threshold value, introducing a set < -1 >, 1 > through linear transformation, calculating the numerical value of each search index, and if the associated index data is higher than the initial threshold value, assigning a positive numerical value between [0, 1] to the associated index data, and if the associated index data is lower than the initial threshold value, assigning a negative numerical value between [ -1, 0] to the associated index data.
Preferably, step S4 is specifically: the utilization weight method comprises the steps of generating association relation weights of the suppliers based on corresponding relations between the known suppliers and the associated suppliers; the weight calculation formula of the correlation index is as follows:
wherein the content of the first and second substances,
，
normalized value for dispersion
Preferably, step S4 specifically includes: and adding the supplier relation data into an association relation search list in the form of respective corresponding weight coefficients.
Preferably, the associated indexes corresponding to the weight coefficients are respectively searched, and the searched associated indexes are deleted from the association relation search list and added to the corresponding database; if the new relationship data of the association index is found in the process of searching the business information corresponding to each association index, generating a new association index according to the new relationship data, and adding the new association index into the association relationship search list.
The second aspect of the present invention discloses a searching apparatus for analyzing provider association using association relationship, comprising the following modules:
the correlation index system module: the associated index system module is used for establishing an associated index system of a supplier in the bidding system;
a data preprocessing module: the data preprocessing is used for acquiring the information of each associated index and carrying out data preprocessing;
the empowerment module: the weighting module is used for weighting the association relation of each supplier by a weighting method
A searching module: the searching module is used for analyzing the association relationship of the suppliers and outputting the searching result.
A third aspect of the present invention discloses a terminal device, which includes a processor, a memory and a computer program, where the memory stores the computer program, and the computer program, when executed by the processor, causes the processor to implement the method for searching for analyzing provider association using association relationship according to the first aspect.
A fourth aspect of the present invention discloses a readable storage medium having stored thereon a computer program which, when executed by a processor, implements a lookup method for analyzing provider associations using associations as described in the first aspect.
Compared with the prior art, the invention has the beneficial effects that: establishing a correlation index system of suppliers in the bidding system; acquiring each piece of associated index information and performing data preprocessing; weighting the association relation of each supplier through a weighting method; and analyzing the association relation of the suppliers and outputting a search result. The method can meet the searching requirement of the associated supplier information, can provide data required by customized searching, has strong pertinence and high efficiency of the associated supplier information searched by the association relation, can further effectively reduce the searching cost of the associated suppliers, and simultaneously avoids the phenomenon of label enclosing or label stringing among the suppliers.
Drawings
FIG. 1 is a flow chart of a lookup method for analyzing vendor associations using association relationships according to the present invention.
FIG. 2 is a diagram of a lookup apparatus for analyzing vendor association using association according to the present invention.
Detailed Description
The following examples are further illustrative of the present invention and are not intended to be limiting thereof.
Referring to fig. 1, an embodiment of the present invention provides a method for searching provider association by using association relationship analysis, including the following steps:
step S1 establishes an association index system for the supplier in the bidding system.
Further, in step S1, the system of associated indicators includes information of the supplier, total branch information, historical bid, quotation behavior, bidding habits, and performance capability and quality level of the supplier. By introducing a plurality of correlation indexes, comprehensive correlation suppliers are facilitated.
Step S2 acquires each piece of associated index information and performs data preprocessing.
Further, in step S2 of the embodiment of the present invention, the data preprocessing specifically includes: carrying out dimensionless treatment on each index data on the basis of supplier associated indexes, setting an initial threshold value, introducing a set < -1 >, 1 > through linear transformation, calculating the numerical value of each search index, and if the associated index data is higher than the initial threshold value, assigning a positive numerical value between [0, 1] to the associated index data, and if the associated index data is lower than the initial threshold value, assigning a negative numerical value between [ -1, 0] to the associated index data. The initial threshold value is set to be compared with the number of the associated indexes, the associated indexes are assigned, and dimensional differences among the associated indexes are eliminated.
Step S3 is to give a weight to the association relationship of each provider.
Further, step S3 in the embodiment of the present invention specifically includes: the utilization weight method comprises the steps of generating association relation weights of the suppliers based on corresponding relations between the known suppliers and the associated suppliers; the weight calculation formula of the correlation index is as follows:
wherein the content of the first and second substances,
，
normalized value for dispersion
And calculating the weight ratio of each relation index through the weight ratio, calculating the weight coefficient of each supplier association relation through the weight relation, and obtaining the association relation of the suppliers through the weight coefficient.
Step S4 analyzes the association relationship of the suppliers, and outputs the search result.
Further, in the embodiment of the present invention, step S4 specifically includes: and adding the supplier relation data into an association relation search list in the form of respective corresponding weight coefficients.
Further, in the embodiment of the present invention, the association indexes corresponding to the weight coefficients are respectively searched, and the searched association indexes are deleted from the association relation search list and added to the corresponding database; if the new relationship data of the association index is found in the process of searching the business information corresponding to each association index, generating a new association index according to the new relationship data, and adding the new association index into the association relationship search list. When the providers need to be searched, keywords can be input in the search list, and then the information of the associated providers can be searched.
Establishing a correlation index system of suppliers in the bidding system; acquiring each piece of associated index information and performing data preprocessing; weighting the association relation of each supplier through a weighting method; and analyzing the association relation of the suppliers and outputting a search result. The method can meet the searching requirement of the associated supplier information, can provide data required by customized searching, has strong pertinence and high efficiency of the associated supplier information searched by the association relation, can further effectively reduce the searching cost of the associated suppliers, and simultaneously avoids the phenomenon of label enclosing or label stringing among the suppliers.
Referring to fig. 2, an embodiment of the present invention provides a lookup apparatus for analyzing provider association by using association relationship, including the following modules:
association index system module 201: the associated index system module is used for establishing an associated index system of a supplier in the bidding system;
the data preprocessing module 202: the data preprocessing is used for acquiring the information of each associated index and carrying out data preprocessing;
the empowerment module 203: the weighting module is used for weighting the association relation of each supplier through a weighting method;
the search module 204: the searching module is used for analyzing the association relationship of the suppliers and outputting the searching result.
The embodiment of the invention provides terminal equipment, which comprises a processor, a memory and a computer program, wherein the memory stores the computer program, and the computer program is executed by the processor, so that the processor can realize the searching method for analyzing the association of the supplier by using the association relation when being executed.
An embodiment of the present invention provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method for searching for analyzing provider association by using association relation.
Those skilled in the art will appreciate that the above description of a computer apparatus is by way of example only and is not intended to be limiting of computer apparatus, and that the apparatus may include more or less components than those described, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
Those skilled in the art will appreciate that the above description of a computer apparatus is by way of example only and is not intended to be limiting of computer apparatus, and that the apparatus may include more or less components than those described, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The modules/units integrated by the computer device may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, electrical signals, software distribution medium, and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A lookup method for analyzing provider associations using association relationships,
s1, establishing a correlation index system of a supplier in a bidding system;
s2, acquiring each piece of associated index information and carrying out data preprocessing;
s3, weighting the association relation of each supplier through a weight method;
and S4, analyzing the association relation of the suppliers and outputting a search result.
2. The method as claimed in claim 1, wherein the association index system comprises supplier information, general branch information, historical bid, quotation behavior, bidding habits, supplier performance capability and quality level in step S1.
3. The supplier association searching method using association relation analysis according to claim 1, wherein in step S2, the data preprocessing specifically includes: carrying out dimensionless treatment on each index data on the basis of supplier associated indexes, setting an initial threshold value, introducing a set < -1 >, 1 > through linear transformation, calculating the numerical value of each search index, and if the associated index data is higher than the initial threshold value, assigning a positive numerical value between [0, 1] to the associated index data, and if the associated index data is lower than the initial threshold value, assigning a negative numerical value between [ -1, 0] to the associated index data.
4. The supplier association searching method using association relation analysis according to claim 1, wherein the step S4 specifically comprises: the utilization weight method comprises the steps of generating association relation weights of the suppliers based on corresponding relations between the known suppliers and the associated suppliers; the weight calculation formula of the correlation index is as follows:
wherein the content of the first and second substances,
，
normalized for dispersion.
5. The supplier association searching method using association relation analysis according to claim 1, wherein the step S4 specifically includes: and adding the supplier relation data into an association relation search list in the form of respective corresponding weight coefficients.
6. The supplier association searching method using association relation analysis according to claim 5, wherein the association indexes corresponding to the weight coefficients are searched respectively, and the searched association indexes are deleted from the association relation search list and added to the corresponding database; if the new relationship data of the association index is found in the process of searching the business information corresponding to each association index, generating a new association index according to the new relationship data, and adding the new association index into the association relationship search list.
7. A lookup apparatus for analyzing vendor associations using associations comprising the following modules:
the correlation index system module: the associated index system module is used for establishing an associated index system of a supplier in the bidding system;
a data preprocessing module: the data preprocessing is used for acquiring the information of each associated index and carrying out data preprocessing;
the empowerment module: the weighting module is used for weighting the association relation of each supplier through a weighting method;
a searching module: the searching module is used for analyzing the association relationship of the suppliers and outputting the searching result.
8. A terminal device characterized by: comprises a processor, a memory and a computer
Program, the memory storing a computer program which, when executed by the processor, causes the processor to carry out a lookup method for analyzing a provider association using an association relation as claimed in any one of claims 1 to 6.
9. A readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when being executed by a processor, implements a lookup method for analyzing vendor associations using associations according to any one of claims 1 to 6.
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| CN202011446764.5A CN112464109A (en) | 2020-12-11 | 2020-12-11 | Searching method and device for analyzing supplier association by using association relation |
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| CN202011446764.5A CN112464109A (en) | 2020-12-11 | 2020-12-11 | Searching method and device for analyzing supplier association by using association relation |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014174558A1 (en) * | 2013-04-22 | 2014-10-30 | 株式会社日立製作所 | Supplier search device and supplier search program |
| CN110046973A (en) * | 2019-04-17 | 2019-07-23 | 成都市审计局 | It is a kind of that mark string mark detection method is enclosed based on incidence relation big data analysis |
| CN110442607A (en) * | 2019-07-26 | 2019-11-12 | 中国建设银行股份有限公司 | The local search method, apparatus and electronic equipment of affiliated enterprise's information |
| CN110992059A (en) * | 2019-11-22 | 2020-04-10 | 浙江招天下招投标交易平台有限公司 | Big data-based surrounding string label behavior recognition analysis method |
| CN111915130A (en) * | 2020-06-23 | 2020-11-10 | 国网天津市电力公司电力科学研究院 | Electric energy meter supplier evaluation method based on improved grey correlation |
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- 2020-12-11 CN CN202011446764.5A patent/CN112464109A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014174558A1 (en) * | 2013-04-22 | 2014-10-30 | 株式会社日立製作所 | Supplier search device and supplier search program |
| CN110046973A (en) * | 2019-04-17 | 2019-07-23 | 成都市审计局 | It is a kind of that mark string mark detection method is enclosed based on incidence relation big data analysis |
| CN110442607A (en) * | 2019-07-26 | 2019-11-12 | 中国建设银行股份有限公司 | The local search method, apparatus and electronic equipment of affiliated enterprise's information |
| CN110992059A (en) * | 2019-11-22 | 2020-04-10 | 浙江招天下招投标交易平台有限公司 | Big data-based surrounding string label behavior recognition analysis method |
| CN111915130A (en) * | 2020-06-23 | 2020-11-10 | 国网天津市电力公司电力科学研究院 | Electric energy meter supplier evaluation method based on improved grey correlation |
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