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Multi-scene dynamic enterprise comprehensive evaluation method and system

A comprehensive evaluation and multi-scenario technology, which is applied in the field of multi-scenario dynamic enterprise comprehensive evaluation methods and systems, can solve problems such as being unable to start, energy and judgment not being able to score with multiple index systems, and losing good characteristic index systems, etc.

Pending Publication Date: 2022-06-21
科大国创云网科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, comprehensive scoring and ranking based on the indicators that academic research pays attention to in specific industries and types of enterprises with certain commonalities can only obtain the evaluation results of enterprises in specific scenarios.
In many scenarios, because there is no relevant research, the guidance of a good characteristic index system is lost, and the work of evaluating enterprises becomes difficult to start
In addition, in determining the weight of indicators, the traditional evaluation model relies too much on the operation of expert scoring, that is, corresponding to each set of indicator systems, it is necessary to invite multiple experts to score the importance of the indicators in the system
In multiple scenarios, due to limited human energy and judgment, it is impossible to continuously score the importance of various index systems, and the degree of automation of the evaluation model is low

Method used

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  • Multi-scene dynamic enterprise comprehensive evaluation method and system
  • Multi-scene dynamic enterprise comprehensive evaluation method and system
  • Multi-scene dynamic enterprise comprehensive evaluation method and system

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Experimental program
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Embodiment 1

[0078] This embodiment provides a technical solution: a multi-scenario dynamic enterprise comprehensive evaluation method, comprising the following steps:

[0079] S1: Clean data

[0080] Clean abnormal data;

[0081] S2: Build a feature index evaluation system

[0082] By calculating the distance correlation coefficient between each input feature and all other features in the database separately, find the feature with the largest correlation coefficient and set it into the feature index evaluation system;

[0083] S3: Empowerment evaluation indicators

[0084] Based on the characteristic index in the characteristic index evaluation system constructed in step S2 and the enterprise used to calculate the weight, the corresponding data is obtained from the database to obtain the sample matrix, and the principal component analysis is performed on the sample matrix to obtain the analysis result, and then the primary weight model is obtained. , and then construct a comprehensive ...

Embodiment 2

[0146] This embodiment proposes a multi-scenario dynamic enterprise comprehensive evaluation model based on distance correlation coefficient and principal component analysis method. like figure 1 As shown, the main operation steps of this multi-scenario dynamic enterprise comprehensive evaluation model are as follows:

[0147] S1: cleaning data, mainly dealing with abnormal data;

[0148] S2: Build a feature index evaluation system;

[0149] S3: Empowerment evaluation index;

[0150] S4: Calculate the comprehensive score of all enterprises, compare and sort.

[0151] In this embodiment, the detailed processing process of each step is as follows:

[0152] S1: cleaning data, mainly dealing with abnormal data

[0153] Consider that the actual data is the data from the large enterprise database. Although the data in the database is relatively complete and structured, in order to ensure that the next steps can extract reasonably accurate information from the data, the process...

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Abstract

The invention discloses a multi-scene dynamic enterprise comprehensive evaluation method and system, and belongs to the technical field of data mining, and the method comprises the steps: S1, cleaning data; s2, constructing a characteristic index evaluation system; s3, weighting evaluation indexes; and S4, sorting the comprehensive scores of the enterprises. According to the method, the knowledge of the enterprise comprehensive scoring demander on the aspect of the feature index system is not required, and the customized feature index system can be established through the distance correlation coefficient by only requiring the demander to input a plurality of the deliberated indexes; new feature indexes are possibly brought into a customized feature index system to a certain extent, so that the defect that many established feature index systems are too old to reflect new concern points in similar scenes in a new period is overcome to a certain extent; in addition, the principal component analysis method is adopted to objectively confirm the weight for the feature indexes, the carding relation between the data is mined, and the situation that multiple times of expert scoring are needed for multiple customized feature index systems is avoided.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a multi-scenario dynamic enterprise comprehensive evaluation method and system. Background technique [0002] The research on enterprise evaluation system at home and abroad is relatively mature. Foreign research on enterprise evaluation system provides directions for the study of enterprise evaluation system from different perspectives and levels, including enterprise value chain theory, competitive strategy management theory, innovation Theory, key factors of enterprise development, etc. With the development of the "mass entrepreneurship and innovation" boom, domestic scholars' research on the evaluation system in recent years has mainly focused on the growth of small and medium-sized enterprises and enterprises. Therefore, the traditional enterprise comprehensive evaluation model is based on the index system mentioned in the relevant academic research, and comprehensively ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F16/215G06F16/2458G06F17/16
CPCG06Q10/06393G06Q10/067G06F16/2465G06F16/215G06F17/16
Inventor 方烨锟姚向东万飞郭冰王启龙李飞
Owner 科大国创云网科技有限公司