CN117078084A - Target object analysis method, target object analysis device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a target object analysis method, a target object analysis device, electronic equipment and a storage medium, and relates to the technical field of financial science and technology. The method comprises the following steps: constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers; acquiring element weights corresponding to the element layers based on the first historical data and an analytic hierarchy process; determining the membership degree corresponding to each element layer based on the second historical data; calculating a hierarchical score for each element layer based on the element weights and the membership degrees; and sequentially acquiring the case weights of the alternative cases relative to the element layers, and carrying out weighted calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases. The application provides a system scheme and data support for a user to provide a more suitable target object according to actual conditions.
Description
Technical Field
The application relates to the technical field of financial science and technology, in particular to a target object analysis method, a target object analysis device, electronic equipment and a storage medium.
Background
As the legal awareness of the public continues to increase, the demand for lawyers is also increasing. Finding lawyers needs to take into account the lawyers 'comprehensive abilities, and whether the lawyers' comprehensive abilities match their own needs. However, to judge the comprehensive ability of lawyers, lawyer information is first required to be acquired, and is difficult for most people to acquire; second, after the lawyer information is obtained, the lawyer comprehensive capacity can be evaluated only by subjective judgment of each person, and a set of unified evaluation standards does not exist. Therefore, there is a need for an effective, unified analysis method that can evaluate the comprehensive capabilities of lawyers.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the application provides a target object analysis method, a target object analysis device, electronic equipment and a storage medium.
In a first aspect, an embodiment of the present application provides a target object analysis method, where the method includes:
constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers;
acquiring element weights corresponding to the element layers based on the first historical data and an analytic hierarchy process;
determining the membership degree corresponding to each element layer based on the second historical data;
calculating a hierarchical score for each element layer based on the element weights and the membership degrees;
and sequentially acquiring the case weights of the alternative cases relative to the element layers, and carrying out weighted calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases.
In an embodiment, each element layer includes N2 index layers, and the obtaining element weights corresponding to each element layer based on the first historical data and the analytic hierarchy process includes:
acquiring index weights between every two index layers in the first historical data;
and summing the index weights of the N2 index layers to obtain the element weight of each element layer.
In one embodiment, the method further comprises:
determining a judgment matrix based on the index weight and the element weight, wherein the judgment matrix comprises: the comprehensive capacity evaluation judgment matrix, the professional capacity judgment matrix, the working background judgment matrix, the case number judgment matrix of different court types, the case number judgment matrix of different case types, the case number judgment matrix of different principal types and the complaint rate judgment matrix.
In an embodiment, the sequentially obtaining the case weights of the candidate cases relative to the element layers includes:
constructing a case difficulty evaluation matrix of each alternative case;
and determining the case weight based on the case difficulty evaluation matrix.
In one embodiment, the method further comprises:
and sequencing the target objects based on the final scores of the alternative cases to obtain push positions of the target objects.
In one embodiment, the method further comprises:
and pushing the target object to the front end according to the pushing sequence.
In a second aspect, an embodiment of the present application provides a target object analysis apparatus, including:
the first construction module is used for constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers;
the acquisition module is used for acquiring element weights corresponding to the element layers based on the first historical data and the analytic hierarchy process;
the determining module is used for determining the membership degree corresponding to each element layer based on the second historical data;
the calculation module is used for calculating the hierarchical score of each element layer based on the element weight and the membership degree;
the weighting module is used for sequentially obtaining the case weights of the alternative cases relative to the element layers, and carrying out weighting calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases.
In one embodiment, the apparatus further comprises:
and the sorting module is used for sorting the target objects based on the final scores of the alternative cases to obtain push positions of the target objects.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is configured to store a computer program, and the computer program executes the target object analysis method provided in the first aspect when the processor runs.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program which, when run on a processor, performs the target object analysis method provided in the first aspect.
The target object analysis method provided by the application constructs the evaluation model of the target object based on the fuzzy comprehensive evaluation method and the analytic hierarchy process, and solves the problem that the comprehensive capacity of the target object can not be quantitatively evaluated to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are required for the embodiments will be briefly described, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of the present application. Like elements are numbered alike in the various figures.
Fig. 1 is a schematic flow chart of a target object analysis method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a target object analysis method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a target object analysis method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a target object analysis device according to an embodiment of the present application;
fig. 5 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
The components of the embodiments of the present application 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 application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," "including," or any other variation thereof, are intended to cover a specific feature, number, step, operation, element, component, or combination of the foregoing, which may be used in various embodiments of the present application, and are not intended to first exclude the presence of or increase the likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the application belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is the same as the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in connection with the various embodiments of the application.
Example 1
The embodiment of the application provides a target object analysis method.
According to the application, lawyer information is taken as a target object, and the matching degree of the lawyer information and the alternative cases is calculated based on a fuzzy comprehensive evaluation method and an analytic hierarchy process, so that the aim of adaptively recommending according to actual requirements is fulfilled.
Specifically, referring to fig. 1, the target object analysis method includes:
step S110, constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers;
before matching, the target object first needs to be evaluated. Illustratively, an evaluation system is constructed based on analytic hierarchy process: specifically, the evaluation system may include a target layer, an element layer, and an index layer. One target layer includes N1 element layers, and one element layer includes N2 index layers. For example, the evaluation system can be found in table 1:
table 1 lawyer practice level ability assessment system
Step S120, element weights corresponding to the element layers are obtained based on the first historical data and the analytic hierarchy process;
in one embodiment, each element layer includes N2 index layers. For example, the first history data may be obtained by questionnaire of persons related to law, etc. in a bank.
In an embodiment, a pairing comparison mode is adopted to determine the element weight corresponding to each element layer. In the analytic hierarchy process, pairing comparison is a method for determining the relative weights between the indexes, and can be used for determining the relative weights between the index layers and the relative weights between the element layers in the application.
The pairing comparison may be based on the following assumptions: when comparing two indices in pairs, if one of the indices is more important than the other, the weight ratio between the two indices being compared should be deterministic and constant. The relative importance of the indexes can be converted into digital representation by a pairing comparison method, and the digital representation represents the relative importance of the indexes to the indexes of the upper layer.
Specific steps of the pairing comparison method can be seen in: the individual metrics are compared in pairs such that each metric is compared with the other metrics one pass. Each pair of indicators is pair-wise compared, and a quantization value is given according to its relative importance. And calculating final weights according to the obtained quantized values of the indexes to determine the relative weights of the indexes in the hierarchical structure.
For example, see tables 2 and 3:
table 2:
table 3:
| weighting of | A1 | A2 | A3 | A4 |
| A1 | 1 | 1/4 | 2 | 1/3 |
| A2 | 4 | 1 | 8 | 2 |
| A3 | 1/2 | 1/8 | 1 | 1/5 |
| A4 | 3 | 1/2 | 5 | 1 |
In the application, the index weight is calculated by adopting AHP, index factors of each layer are compared in pairs, and judgment is carried out according to an important scale to obtain 7 judgment matrixes: lawyer comprehensive ability evaluation judgment matrix A, professional ability judgment matrix B1, working background judgment matrix B2, different court type case number judgment matrix B3, different case type case number judgment matrix B4, different principal type case number judgment matrix B5 and complaint rate judgment matrix B6.AHP (Analytic Hierarchy Process) hierarchical analysis is a multi-criterion decision method for analyzing and weight ordering complex decision problems. The AHP method handles complex decision problems by decomposing the problem into a Hierarchy (Hierarchy). The hierarchy consists of a target layer, a criteria layer and a scheme layer. The goal layer represents the final decision goal, the criteria layer represents the various factors needed to achieve the goal, and the solution layer represents an alternative embodiment. Specifically, see table 4:
table 4 comprehensive evaluation weights
Step S130, determining the membership degree corresponding to each element layer based on the second historical data;
in the AHP hierarchy analysis, the membership refers to the degree of relationship between each factor and the importance of each hierarchy. Membership is a number obtained by a series of pairwise comparisons reflecting the relative importance of factors in a hierarchy relative to other factors.
For example, membership may be determined using a questionnaire method. Such as issuing a scoring questionnaire to those skilled in the art. The questionnaires are required to be ensured to be effective questionnaires, and the validity of investigation results is ensured.
Step S140, calculating a hierarchical score of each element layer based on the element weights and the membership degrees;
specifically, the hierarchical score may be obtained by multiplying the element weight by a membership matrix to obtain a score corresponding to each element layer.
Step S150, sequentially obtaining the case weights of the alternative cases relative to the element layers, and carrying out weighted calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases.
The evaluation system obtained as described above may be used to construct a case difficulty evaluation matrix, so as to construct a matching with the lawyer's ability, and as shown in fig. 2, the case difficulty includes the complexity of the case, the difficulty level of legal problems, and the advance and retreat of the notice scheme, so as to perform comprehensive evaluation. Based on the study method and the data source, evaluation matrix weights are constructed.
And constructing a law and case matching degree evaluation matrix based on the comprehensive ability evaluation system of the law and the relevant characteristics of the cases. The comprehensive capacity of lawyers contains relevant data such as comprehensive capacity, good case types and the like, and cases comprise case types and related information of parties. Based on the existing lawyer capability scoring model, recommending the first 10 pieces of user data with highest complaint rate to the front-end page according to the case type, thereby forming a case corresponding lawyer competence evaluation system. As shown in fig. 3.
On the technical level, an evaluation matrix is constructed on the technical bottom layer based on big data and a machine learning algorithm, a dispatching tool is used for realizing batch running tasks, a client click event is used on the front end, so that an ajax method is called, and then the ajax method is used for calling a java rear end method, so that matching degree ranking data is called. And finally, returning the data to the front end for display.
According to the target object analysis method provided by the embodiment, the evaluation model is built based on the fuzzy comprehensive evaluation method and the analytic hierarchy process for the capability of lawyers, the problem that the capability of the traditional lawyers cannot be quantitatively evaluated is solved to a certain extent, the plurality of attributes of the lawyers are scored, a data basis is provided for targeted recommendation marketing of clients, and service requirements can be responded rapidly, so that enterprises can be helped to improve service quality and client satisfaction. The lawyer evaluation model is constructed by using an analytic hierarchy process and a fuzzy comprehensive evaluation process, and the validity of the method is checked by using specific investigation data of a certain bank, so that an effective method is provided for improving the validity of a lawyer capacity evaluation system in the bank. In addition, the lawyer competence evaluation system scheme is constructed by corresponding matching based on the case data and the lawyer competence, and a system scheme and a force support are provided for a user to provide more proper lawyers according to the case.
In summary, the target object analysis method provided in this embodiment can quantitatively embody the comprehensive capability of the target object and provide data support for the user's selection.
Example 2
In addition, the embodiment of the application provides a target object analysis device 400.
Specifically, as shown in fig. 4, the target object analysis apparatus 400 includes:
a first construction module 410, configured to construct an evaluation system based on basic information of a target object, where the evaluation system includes a target layer and N1 element layers;
an obtaining module 420, configured to obtain element weights corresponding to the element layers based on the first historical data and the analytic hierarchy process;
a determining module 430, configured to determine a membership degree corresponding to each element layer based on the second historical data;
a calculation module 440, configured to calculate a hierarchical score of each element layer based on the element weights and the membership degrees;
the weighting module 450 is configured to sequentially obtain case weights of each candidate case relative to each element layer, and perform weighted calculation on the case weights and the hierarchical scores to obtain final scores of each candidate case.
The target object analysis device 400 provided in this embodiment can implement the target object analysis method provided in embodiment 1, and has similar technical effects, and in order to avoid repetition, the description is omitted here.
Example 3
Furthermore, an embodiment of the present application provides an electronic device including a memory and a processor, the memory storing a computer program that, when run on the processor, performs the target object analysis method provided in embodiment 1.
Specifically, referring to fig. 5, the electronic device 500 includes: a transceiver 501, a bus interface and a processor 502.
In an embodiment of the present application, the electronic device 500 further includes: a memory 503. In fig. 5, a bus architecture may comprise any number of interconnected buses and bridges, with one or more processors, represented in particular by processor 502, and various circuits of memory, represented in memory 503, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. The transceiver 501 may be a number of elements, i.e. comprising a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 502 is responsible for managing the bus architecture and general processing, and the memory 503 may store data used by the processor 502 in performing operations.
The electronic device 500 provided in the embodiment of the present application can implement the target object analysis method provided in embodiment 1, and has similar technical effects, and in order to avoid repetition, a detailed description is omitted here.
Example 4
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the target object analysis method provided in embodiment 1.
In the present embodiment, the computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or the like.
The computer readable storage medium provided in this embodiment can implement the target object analysis method provided in embodiment 1, and in order to avoid repetition, a detailed description is omitted here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal comprising the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (10)
1. A method of target object analysis, the method comprising:
constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers;
acquiring element weights corresponding to the element layers based on the first historical data and an analytic hierarchy process;
determining the membership degree corresponding to each element layer based on the second historical data;
calculating a hierarchical score for each element layer based on the element weights and the membership degrees;
and sequentially acquiring the case weights of the alternative cases relative to the element layers, and carrying out weighted calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases.
2. The target object analysis method according to claim 1, wherein each element layer includes N2 index layers, the obtaining element weights corresponding to each element layer based on the first history data and the hierarchical analysis method includes:
acquiring index weights between every two index layers in the first historical data;
and summing the index weights of the N2 index layers to obtain the element weight of each element layer.
3. The target object analysis method according to claim 2, wherein the method further comprises:
determining a judgment matrix based on the index weight and the element weight, wherein the judgment matrix comprises: the comprehensive capacity evaluation judgment matrix, the professional capacity judgment matrix, the working background judgment matrix, the case number judgment matrix of different court types, the case number judgment matrix of different case types, the case number judgment matrix of different principal types and the complaint rate judgment matrix.
4. The method for analyzing a target object according to claim 1, wherein the sequentially obtaining case weights of each candidate case with respect to each element layer includes:
constructing a case difficulty evaluation matrix of each alternative case;
and determining the case weight based on the case difficulty evaluation matrix.
5. The target object analysis method according to claim 1, wherein the method further comprises:
and sequencing the target objects based on the final scores of the alternative cases to obtain push positions of the target objects.
6. The target object analysis method according to claim 5, wherein the method further comprises:
and pushing the target object to the front end according to the pushing sequence.
7. A target object analysis device, the device comprising:
the first construction module is used for constructing an evaluation system based on basic information of a target object, wherein the evaluation system comprises a target layer and N1 element layers;
the acquisition module is used for acquiring element weights corresponding to the element layers based on the first historical data and the analytic hierarchy process;
the determining module is used for determining the membership degree corresponding to each element layer based on the second historical data;
the calculation module is used for calculating the hierarchical score of each element layer based on the element weight and the membership degree;
the weighting module is used for sequentially obtaining the case weights of the alternative cases relative to the element layers, and carrying out weighting calculation on the case weights and the hierarchical scores to obtain the final scores of the alternative cases.
8. The target object analysis device of claim 7, wherein the device further comprises:
and the sorting module is used for sorting the target objects based on the final scores of the alternative cases to obtain push positions of the target objects.
9. An electronic device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, performs the target object analysis method of any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the target object analysis method of any one of claims 1 to 6.
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