CN112767117A - Method and device for evaluating enterprise status in group - Google Patents
Method and device for evaluating enterprise status in group Download PDFInfo
- Publication number
- CN112767117A CN112767117A CN202011614531.1A CN202011614531A CN112767117A CN 112767117 A CN112767117 A CN 112767117A CN 202011614531 A CN202011614531 A CN 202011614531A CN 112767117 A CN112767117 A CN 112767117A
- Authority
- CN
- China
- Prior art keywords
- evaluated
- enterprise
- enterprises
- evaluation value
- evaluation
- 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
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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides an evaluation method and a device for enterprise status in a group, wherein the evaluation method comprises the following steps: acquiring a group atlas of a target group; acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated; aiming at each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on a first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under a target group flag and an association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag; according to the method and the system, the influence of different incidence relations among the enterprises to be evaluated on the status of the enterprises to be evaluated is considered, the evaluation value of each enterprise to be evaluated is obtained, the enterprises to be evaluated under the cluster flag are evaluated in batches according to the evaluation value, and the status of each enterprise to be evaluated in the cluster can be evaluated relatively objectively and accurately.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a device for evaluating enterprise status in a group.
Background
In the main grading of an enterprise and the business of giving credit to public customers, the status of the enterprise in a group to which the enterprise belongs needs to be known, the supporting strength of the group to the enterprise and the value contribution of the enterprise to the group are analyzed, at present, the status of the enterprise in the group is judged by carrying out full-time investigation on the enterprise mainly depending on the business experience of financial institution business personnel, the automatic judgment and the batch judgment of the status of the enterprise in the group are difficult to realize by the judgment method, in addition, the current enterprise status judgment method only considers the single-layer control relationship but not considers the influence of the organization structure of the group on the status of the enterprise, the status of the enterprise cannot be analyzed according to the overall condition of the group, and the real condition of the enterprise cannot be reflected.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method and an apparatus for evaluating corporate status in a group, where the method and apparatus consider the influence of different association relations among enterprises to be evaluated on corporate status to obtain an evaluation value of each enterprise to be evaluated, and perform batch evaluation on the enterprises to be evaluated under the cluster flag according to the evaluation value, so as to relatively objectively and accurately evaluate the status of each enterprise to be evaluated in the group.
In a first aspect, an embodiment of the present invention provides a method for evaluating corporate status in a group, including:
acquiring a group map of a target group, wherein the group map comprises at least one enterprise to be evaluated under the flag of the target group and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the flag of the target group;
acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated;
for each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag;
and evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
Optionally, the acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated, where the evaluation method includes:
determining the maximum value and the minimum value of registered capital data in the registered capital data of all enterprises to be evaluated;
characterizing the registered capital data of each enterprise to be evaluated based on the determined maximum value and minimum value of the registered capital data to obtain a normalized value corresponding to the registered capital data of each enterprise to be evaluated;
and determining the normalized value corresponding to the registered capital data of each enterprise to be evaluated as the first evaluation value of the enterprise to be evaluated.
Optionally, the first evaluation value of the enterprise v to be evaluated is determined by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) A normalized value corresponding to the registered capital data of the enterprise v to be evaluated;
and determining the normalized value corresponding to the registered capital data of the enterprise v to be evaluated as the first evaluation value pr (v) of the enterprise v to be evaluated.
Optionally, the second evaluation value of the enterprise u to be evaluated is calculated by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
Optionally, the method for evaluating the status of any one of the at least one enterprise to be evaluated in the target group based on the group graph and a second evaluation value of different enterprises to be evaluated includes:
determining a second evaluation value with the maximum value from the second evaluation values of the enterprises to be evaluated, determining the enterprise to be evaluated corresponding to the second evaluation value with the maximum value as a lead enterprise, tracing back upwards according to the incidence relation of the enterprises to be evaluated based on the group atlas, and determining the enterprise to be evaluated with the highest traced node as a lead enterprise;
sequencing the second evaluation values of the enterprises to be evaluated except the leading enterprise, determining the second evaluation value of Z% before ranking, and determining the enterprise to be evaluated corresponding to the second evaluation value of Z% before ranking as a core enterprise;
taking the leading enterprise as an initial node, based on the group atlas, tracing back downwards according to the investment relation of the leading enterprise, and determining the traced core enterprise as a keel frame enterprise;
and determining other enterprises to be evaluated except the faucet enterprise, the core enterprise and the keel frame enterprise as general enterprises.
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating corporate status in a group, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a group map of a target group, and the group map comprises at least one enterprise to be evaluated under a target group flag and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the target group flag;
the first determination module is used for acquiring the registered capital data of each enterprise to be evaluated and carrying out normalization processing on the registered capital data of all the enterprises to be evaluated so as to determine a first evaluation value of each enterprise to be evaluated;
a second determining module, configured to determine, for each enterprise to be evaluated, a second evaluation value of the enterprise to be evaluated based on the first evaluation value of the other enterprise to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and the other enterprise to be evaluated under the target group flag;
and the evaluation module is used for evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
Optionally, the first determining module determines the first evaluation value of the enterprise v to be evaluated by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) A normalized value corresponding to the registered capital data of the enterprise v to be evaluated;
and determining the normalized value corresponding to the registered capital data of the enterprise v to be evaluated as the first evaluation value pr (v) of the enterprise v to be evaluated.
Optionally, the second determining module calculates the second evaluation value of the enterprise u to be evaluated by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: the system comprises a processor, a memory and a bus, wherein the memory stores machine readable instructions executable by the processor, the processor and the memory are communicated through the bus when the electronic device runs, and the machine readable instructions are executed by the processor to execute the steps of the method for evaluating the position of the enterprise in the clique.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the method for evaluating the status of enterprises in a clique as described above.
The method comprises the steps that a group atlas of a target group is obtained, wherein the group atlas comprises at least one enterprise to be evaluated under a target group flag and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the target group flag; acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated; for each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag; and evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
Therefore, the influence of different incidence relations among the enterprises to be evaluated on the status of the enterprises to be evaluated is considered, the evaluation value of each enterprise to be evaluated is obtained, the enterprises to be evaluated under the cluster flag are evaluated in batches according to the evaluation value, and the status of each enterprise to be evaluated in the cluster can be evaluated relatively objectively and accurately.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flowchart illustrating steps of a method for evaluating status of enterprises in a group according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a clique graph of a target clique in accordance with an embodiment of the present invention;
fig. 3 is a schematic structural diagram illustrating an apparatus for evaluating status of enterprises in a group according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Research shows that in the main grading of an enterprise and the credit service for public customers, the status of the enterprise in a group to which the enterprise belongs needs to be known, the supporting strength of the group to the enterprise and the value contribution of the enterprise to the group are analyzed, at present, the status of the enterprise in the group is judged by fully investigating the enterprise mainly depending on the business experience of financial institution business personnel, the automatic judgment and the batch judgment of the enterprise status in the group are difficult to realize by the judgment method, in addition, the current enterprise status judgment method only considers the control relationship of a single layer, but does not consider the influence of a group organization structure on the enterprise status, the status of the enterprise cannot be analyzed according to the overall condition of the group, and the real condition of the enterprise cannot be reflected.
In view of this, the embodiment of the present invention provides a method for evaluating corporate status in a group, which can relatively objectively and accurately evaluate the status of each corporate to be evaluated in the group.
As shown in fig. 1, fig. 1 is a flowchart of an evaluation method for corporate status provided by the present application, where the evaluation method includes the following steps:
s101, obtaining a group map of a target group, wherein the group map comprises at least one enterprise to be evaluated under a target group set flag and an association relation between each enterprise to be evaluated and other enterprises to be evaluated under the target group flag.
In this step, the obtained group atlas of the target group is an expression form of a knowledge atlas, and may be used to represent relationships between enterprises, and as an example, the group atlas of the target group obtained in the embodiment of the present invention is constructed by using each enterprise to be evaluated as a node and using an association relationship between each enterprise to be evaluated as an edge, so that the group atlas may reflect an association relationship between each enterprise to be evaluated under the same target group.
By way of example, the association may include, but is not limited to: the system comprises an investment relation, an arbitrary role relation, a voting right relation and a control relation, wherein the investment relation and the arbitrary role relation can be obtained from the business basic information of the enterprise to be evaluated, and the voting right relation and the control relation can be obtained from an enterprise annual report published by the enterprise to be evaluated. The related relation reflected in the group atlas of the embodiment of the invention is an investment relation and a control relation.
S102, acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated.
In the step, the registered capital data of the enterprise to be evaluated can be obtained from the business basic information of the enterprise to be evaluated, normalization processing is carried out on the registered capital data of all the enterprises to be evaluated to obtain normalization values corresponding to all the enterprises to be evaluated, and the normalization values are determined as the first evaluation value of the enterprise to be evaluated.
By way of example, the method for normalizing the registered capital data of all the enterprises to be evaluated is as follows: determining a maximum value and a minimum value of registered capital data from the registered capital data of all the enterprises to be evaluated, and characterizing the registered capital data of each enterprise to be evaluated based on the maximum value and the minimum value of the registered capital data to obtain a corresponding normalized value of all the enterprises to be evaluated.
Specifically, a first evaluation value of the enterprise v to be evaluated is determined by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) And obtaining a normalized value corresponding to the registered capital data of the enterprise v to be evaluated.
Further, the normalized value corresponding to the registered capital data of the enterprise v to be evaluated is determined as the first evaluation value pr (v) of the enterprise v to be evaluated.
S103, aiming at each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag.
In the step, for each enterprise to be evaluated, whether the enterprise to be evaluated is associated is judged from a corporate map of a target corporate, wherein the association means whether the enterprise to be evaluated is controlled by or invested by other enterprises to be evaluated, then other enterprises to be evaluated having an association relationship are determined, the first evaluation value and the corresponding association relationship of the other enterprises to be evaluated are used as factors which jointly influence the status of the enterprise to be evaluated, and finally, the second evaluation value of the enterprise to be evaluated is determined through the two influence factors.
As an example, the second valuation value of the business under evaluation may be determined by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
When the second evaluation value of the enterprise to be evaluated is determined, calculating the control relation in the association relation of the enterprise to be evaluated according to the investment relation of 100% to determine the second evaluation value of the enterprise to be evaluated.
It should be noted that the first evaluation values of the other enterprises to be evaluated are not influence factors of the other enterprises to be evaluated, but are used as influence factors of the enterprises to be evaluated for calculating the second evaluation values of the enterprises to be evaluated. Specifically, the embodiment of the invention determines the second evaluation value of the enterprise to be evaluated through an iterative algorithm, and optimizes the first evaluation value of the enterprise to be evaluated during each iterative calculation.
As an example, a normalized value obtained by performing normalization processing on registered capital data is used as a first evaluation value of each enterprise to be evaluated, which is calculated in a first iteration, for determining a second evaluation value of each enterprise to be evaluated in the first iteration; and during the second iterative computation, taking the second evaluation value of each enterprise to be evaluated obtained by the first iterative computation as the first evaluation value of each enterprise to be evaluated of the second iterative computation, determining the second evaluation value of each enterprise to be evaluated of the second iterative computation, and optimizing the second evaluation value of each enterprise to be evaluated according to the iterative algorithm. Further, when the second evaluation value of the enterprise to be evaluated gradually converges and stabilizes, the algorithm is terminated, and the second evaluation value of the enterprise to be evaluated is finally determined, wherein it may be determined whether the second evaluation value of the enterprise to be evaluated stabilizes by, as an example, calculating an absolute value of a vector difference between two adjacent second evaluation values, and comparing the absolute value with a preset threshold value of the vector difference, and when the absolute value is smaller than the preset threshold value of the vector difference, the algorithm is terminated, and the second evaluation value of each enterprise to be evaluated is finally determined.
And S104, evaluating the position of any one enterprise to be evaluated in the target group based on the group map and the second evaluation values of different enterprises to be evaluated.
This step will be explained with reference to the group map of the target group shown in fig. 2, and the evaluation process of the status of the enterprise to be evaluated in the group will be explained.
In the step, a second evaluation value with the maximum value is determined from the second evaluation values of the enterprises to be evaluated, the enterprise to be evaluated corresponding to the second evaluation value with the maximum value is determined to be a lead-ready enterprise, the enterprise to be evaluated is traced upwards according to the incidence relation of the enterprise to be evaluated based on the group atlas, and the enterprise to be evaluated with the highest traced node is determined to be a lead-ready enterprise.
As an example, in fig. 2, the enterprise a to be identified is determined to be a quasi-leading enterprise, and then based on the corporate map, the enterprise a to be evaluated is traced upward according to the association relationship, that is, the enterprise C to be evaluated traced according to the investment relationship is determined to be a leading enterprise. Further, the invention also provides another embodiment, in order to solve the problem that the enterprise to be evaluated with the highest node traced back according to the association relationship is taken as the lead enterprise under the condition that the multi-level association relationship exists, further, in order to solve the problem that the lead enterprise has a plurality of association relationships, the investment relationship of more than 50% is traced back upwards, and finally, the enterprise to be evaluated with the highest node is traced back as the lead enterprise.
Further, the second evaluation values of the enterprises to be evaluated except the leading enterprise are ranked, the second evaluation value of Z% before ranking is determined, and the enterprise to be evaluated corresponding to the second evaluation value of Z% before ranking is determined as a core enterprise.
As an example, the enterprises to be evaluated in the corporate map shown in fig. 2 are sorted from large to small according to the second evaluation value, and the order is as follows: A. c, E, B, G, F, J, I, D, M, H, S, R, K, L, N, O, P, Q, T, U, V, W, the value of Z can be set according to the situation of the target group, for example, the invention sets the value of Z to 40, namely, the business to be evaluated corresponding to the second evaluation value of 40% before the ranking except the leading business is determined as the core business, and then the business A, E, B, G, F, J, I, D, M to be evaluated is determined as the core business.
Furthermore, a faucet enterprise is used as a starting node, based on the group atlas, the data is traced downwards according to the incidence relation of the faucet enterprise, and the traced core enterprise is determined as a keel frame enterprise.
By way of example, the method takes the leading enterprise C as a starting node, and traces back to the core enterprise A, E, B, G, F, J, I, D according to the association relationship, so that A, E, B, G, F, J, I, D of the core enterprises is further determined as a keel enterprise, the keel enterprise is removed from the core enterprise, the rest of the core enterprises are M, and it is noted that for an enterprise to be evaluated with the multi-level association relationship, each level should trace back with the core enterprise as a target until tracing back to the lowest node.
Furthermore, the other enterprises to be evaluated except the dragon head enterprise, the core enterprise and the dragon skeleton enterprise in the enterprises to be evaluated are determined as common enterprises.
By way of example, the present invention identifies the enterprise to be evaluated H, S, R, K, L, N, O, P, Q, T, U, V, W other than the dragon head enterprise a, the core enterprise M, and the keel enterprise E, B, G, F, J, I, D as a general enterprise.
For clarity, in this application, the group graph of the target group with a simple group structure is taken as an example, and the scheme is also applicable to the target group with a more complex group structure.
The method for evaluating the enterprise status in the group, provided by the embodiment of the application, includes the steps of obtaining a group map of a target group, wherein the group map comprises at least one enterprise to be evaluated under the flag of the target group and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the flag of the target group; acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated; for each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag; and evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
Therefore, the influence of different incidence relations among the enterprises to be evaluated on the status of the enterprises to be evaluated is considered, the evaluation value of each enterprise to be evaluated is obtained, the enterprises to be evaluated under the cluster flag are evaluated in batches according to the evaluation value, and the status of each enterprise to be evaluated in the cluster can be evaluated relatively objectively and accurately.
As shown in fig. 3, fig. 3 is a schematic structural diagram of an apparatus for evaluating status of enterprises in a group according to the present application, where the apparatus 300 includes:
an obtaining module 301, configured to obtain a group atlas of a target group, where the group atlas includes at least one to-be-evaluated enterprise under the target group flag, and an association relationship between each to-be-evaluated enterprise and another to-be-evaluated enterprise under the target group flag;
the first determining module 302 is configured to obtain registered capital data of each enterprise to be evaluated, and perform normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated;
a second determining module 303, configured to determine, for each to-be-evaluated enterprise, a second evaluation value of the to-be-evaluated enterprise based on the first evaluation value of the other to-be-evaluated enterprise having an association relationship with the to-be-evaluated enterprise under the target group flag and the association relationship between the to-be-evaluated enterprise and the other to-be-evaluated enterprise under the target group flag;
an evaluation module 304, configured to evaluate a status of any one of the at least one enterprise to be evaluated in the target clique based on the clique graph and a second evaluation value of different enterprises to be evaluated.
Further, when the first determining module 302 acquires the registered capital data of each enterprise to be evaluated, and normalizes the registered capital data of all enterprises to be evaluated to determine the first evaluation value of each enterprise to be evaluated, the first determining module 302 is configured to:
determining the maximum value and the minimum value of registered capital data in the registered capital data of all enterprises to be evaluated;
characterizing the registered capital data of each enterprise to be evaluated based on the determined maximum value and minimum value of the registered capital data to obtain a normalized value corresponding to the registered capital data of each enterprise to be evaluated;
and determining the normalized value corresponding to the registered capital data of each enterprise to be evaluated as the first evaluation value of the enterprise to be evaluated.
Further, the first determining module 302 is configured to determine the first evaluation value of the enterprise v to be evaluated by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) A normalized value corresponding to the registered capital data of the enterprise v to be evaluated;
and determining the normalized value corresponding to the registered capital data of the enterprise v to be evaluated as the first evaluation value pr (v) of the enterprise v to be evaluated.
Further, the second determining module 303 is configured to calculate a second evaluation value of the enterprise u to be evaluated by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
When the evaluation module 304 evaluates the status of any one of the at least one enterprise to be evaluated in the target clique based on the clique graph and a second evaluation value of different enterprises to be evaluated, the evaluation module 304 is configured to:
determining a second evaluation value with the maximum value from the second evaluation values of the enterprises to be evaluated, determining the enterprise to be evaluated corresponding to the second evaluation value with the maximum value as a lead enterprise, tracing back upwards according to the incidence relation of the enterprises to be evaluated based on the group atlas, and determining the enterprise to be evaluated with the highest traced node as a lead enterprise;
sequencing the second evaluation values of the enterprises to be evaluated except the leading enterprise, determining the second evaluation value of Z% before ranking, and determining the enterprise to be evaluated corresponding to the second evaluation value of Z% before ranking as a core enterprise;
taking the leading enterprise as an initial node, based on the group atlas, tracing back downwards according to the incidence relation of the leading enterprise, and determining the traced core enterprise as a keel frame enterprise;
and determining other enterprises to be evaluated except the dragon head enterprise, the core enterprise and the dragon skeleton enterprise as common enterprises.
The evaluation device for the enterprise status in the group provided by the embodiment of the application obtains the group map of the target group, wherein the group map comprises at least one enterprise to be evaluated under the flag of the target group and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the flag of the target group; acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated; for each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag; and evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
Therefore, the influence of different incidence relations among the enterprises to be evaluated on the status of the enterprises to be evaluated is considered, the evaluation value of each enterprise to be evaluated is obtained, the enterprises to be evaluated under the cluster flag are evaluated in batches according to the evaluation value, and the status of each enterprise to be evaluated in the cluster can be evaluated relatively objectively and accurately.
As shown in fig. 4, which is a schematic structural diagram of an electronic device provided in the embodiment of the present application, the electronic device 400 includes a processor 401, a memory 402, and a bus 403.
The memory 402 stores machine-readable instructions executable by the processor 401, when the electronic device 400 runs, the processor 401 communicates with the memory 402 through the bus 403, and when the machine-readable instructions are executed by the processor 401, the steps of the method in the method embodiment shown in fig. 1 may be executed.
The computer program product of the method for assessing corporate status provided in the embodiments of the present application includes a computer-readable storage medium storing non-volatile program code executable by a processor, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An evaluation method for enterprise status within a group, the evaluation method comprising:
acquiring a group map of a target group, wherein the group map comprises at least one enterprise to be evaluated under the flag of the target group and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the flag of the target group;
acquiring registered capital data of each enterprise to be evaluated, and performing normalization processing on the registered capital data of all the enterprises to be evaluated to determine a first evaluation value of each enterprise to be evaluated;
for each enterprise to be evaluated, determining a second evaluation value of the enterprise to be evaluated based on the first evaluation value of other enterprises to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and other enterprises to be evaluated under the target group flag;
and evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
2. The assessment method of claim 1, wherein the acquiring registered capital data of each enterprise to be assessed, and performing normalization processing on the registered capital data of all enterprises to be assessed to determine a first assessment value of each enterprise to be assessed comprises:
determining the maximum value and the minimum value of registered capital data in the registered capital data of all enterprises to be evaluated;
characterizing the registered capital data of each enterprise to be evaluated based on the determined maximum value and minimum value of the registered capital data to obtain a normalized value corresponding to the registered capital data of each enterprise to be evaluated;
and determining the normalized value corresponding to the registered capital data of each enterprise to be evaluated as the first evaluation value of the enterprise to be evaluated.
3. The evaluation method according to claim 2, wherein the first evaluation value of the business v to be evaluated is determined by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) A normalized value corresponding to the registered capital data of the enterprise v to be evaluated;
and determining the normalized value corresponding to the registered capital data of the enterprise v to be evaluated as the first evaluation value pr (v) of the enterprise v to be evaluated.
4. The evaluation method according to claim 1, wherein the second evaluation value of the enterprise u to be evaluated is calculated by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
5. The assessment method according to claim 1, wherein said assessing a status of any one of the at least one business to be assessed in the target clique based on the clique graph and a second assessment value of different businesses to be assessed comprises:
determining a second evaluation value with the maximum value from the second evaluation values of the enterprises to be evaluated, determining the enterprise to be evaluated corresponding to the second evaluation value with the maximum value as a lead enterprise, tracing back upwards according to the incidence relation of the enterprises to be evaluated based on the group atlas, and determining the enterprise to be evaluated with the highest traced node as a lead enterprise;
sequencing the second evaluation values of the enterprises to be evaluated except the leading enterprise, determining the second evaluation value of Z% before ranking, and determining the enterprise to be evaluated corresponding to the second evaluation value of Z% before ranking as a core enterprise;
taking the leading enterprise as an initial node, based on the group atlas, tracing back downwards according to the incidence relation of the leading enterprise, and determining the traced core enterprise as a keel frame enterprise;
and determining other enterprises to be evaluated except the faucet enterprise, the core enterprise and the keel frame enterprise as general enterprises.
6. An evaluation device for corporate status within a group, the evaluation device comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a group map of a target group, and the group map comprises at least one enterprise to be evaluated under a target group flag and an incidence relation between each enterprise to be evaluated and other enterprises to be evaluated under the target group flag;
the first determination module is used for acquiring the registered capital data of each enterprise to be evaluated and carrying out normalization processing on the registered capital data of all the enterprises to be evaluated so as to determine a first evaluation value of each enterprise to be evaluated;
a second determining module, configured to determine, for each enterprise to be evaluated, a second evaluation value of the enterprise to be evaluated based on the first evaluation value of the other enterprise to be evaluated having an association relationship with the enterprise to be evaluated under the target group flag and the association relationship between the enterprise to be evaluated and the other enterprise to be evaluated under the target group flag;
and the evaluation module is used for evaluating the position of any one enterprise to be evaluated in the target group based on the group map and second evaluation values of different enterprises to be evaluated.
7. The evaluation apparatus of claim 6, wherein the first determination module determines the first evaluation value of the business v to be evaluated by the following equation:
wherein x ismaxFor registering capital data maximum, xminFor registering capital data minimum, xνRegistered capital data for the enterprise v to be assessed; pr (x)ν) A normalized value corresponding to the registered capital data of the enterprise v to be evaluated;
and determining the normalized value corresponding to the registered capital data of the enterprise v to be evaluated as the first evaluation value pr (v) of the enterprise v to be evaluated.
8. The evaluation apparatus according to claim 6, wherein the second determination module calculates the second evaluation value of the enterprise u to be evaluated by the following equation:
pr (u) is a second evaluation value of the enterprise u to be evaluated, d is a damping factor, N is a total number of nodes, v is another enterprise to be evaluated having an association relationship with the enterprise u to be evaluated under the target group flag, Bu is a set of other enterprises v to be evaluated having an association relationship with the enterprise u to be evaluated, and p (v) is an investment proportion of the other enterprises v to be evaluated to the enterprise u to be evaluated having an association relationship with the enterprise u to be evaluated.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the method of any of claims 1-5.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011614531.1A CN112767117A (en) | 2020-12-30 | 2020-12-30 | Method and device for evaluating enterprise status in group |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011614531.1A CN112767117A (en) | 2020-12-30 | 2020-12-30 | Method and device for evaluating enterprise status in group |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112767117A true CN112767117A (en) | 2021-05-07 |
Family
ID=75696224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011614531.1A Pending CN112767117A (en) | 2020-12-30 | 2020-12-30 | Method and device for evaluating enterprise status in group |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112767117A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113487392A (en) * | 2021-07-27 | 2021-10-08 | 成都数联云算科技有限公司 | Enterprise evaluation method and device |
-
2020
- 2020-12-30 CN CN202011614531.1A patent/CN112767117A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113487392A (en) * | 2021-07-27 | 2021-10-08 | 成都数联云算科技有限公司 | Enterprise evaluation method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10943186B2 (en) | Machine learning model training method and device, and electronic device | |
| CN107193876B (en) | Missing data filling method based on nearest neighbor KNN algorithm | |
| US10614056B2 (en) | System and method for automated detection of incorrect data | |
| US20160148321A1 (en) | Simplified screening for predicting errors in tax returns | |
| EP3413221A1 (en) | Risk assessment method and system | |
| CN110717824A (en) | Method and device for conducting and calculating risk of public and guest groups by bank based on knowledge graph | |
| CN112927061B (en) | User operation detection method and program product | |
| CN111192144A (en) | Financial data prediction method, device, equipment and storage medium | |
| CN110930038A (en) | Loan demand identification method, loan demand identification device, loan demand identification terminal and loan demand identification storage medium | |
| CN111428217A (en) | Method and device for identifying cheat group, electronic equipment and computer readable storage medium | |
| CN112767117A (en) | Method and device for evaluating enterprise status in group | |
| CN109801176B (en) | Method, system, electronic device and storage medium for identifying insurance fraud | |
| CN115437965B (en) | Data processing method suitable for test management platform | |
| CN116596277A (en) | Task planning method, device, equipment and storage medium | |
| CN108961071B (en) | Method for automatically predicting combined service income and terminal equipment | |
| CN108446907B (en) | Safety verification method and device | |
| CN108197740A (en) | Business failure Forecasting Methodology, electronic equipment and computer storage media | |
| CN112001760B (en) | Potential user mining method and device, electronic equipment and storage medium | |
| CN112464162A (en) | Fund comparison method, apparatus, computer device and medium based on historical data | |
| CN113762630A (en) | Time window selection method and device, storage medium and electronic equipment | |
| Wanke et al. | Measuring efficiency drivers and productive slacks in UK auditing firms | |
| CN114170000A (en) | Credit card user risk category identification method, device, computer equipment and medium | |
| CN112927069A (en) | User credit risk assessment method and device and electronic equipment | |
| CN112231634A (en) | Credit limit calculation method, system and equipment based on enterprise information | |
| CN111047438A (en) | Data processing method, device and computer readable 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 |