Enterprise User Credit Evaluation Model Based on Hierarchical Analysis Method

DOI

10.2991/978-94-6463-042-8_166How to use a DOI?

Keywords

electric power marketing; AHP; hierarchical analysis method; power data

Abstract

In the daily work of electric power marketing, for all kinds of risks in the electric power marketing business to carry out systematic sorting and in-depth analysis, can effectively reduce the production and operation risks of electric power enterprises. At present, power companies still use more traditional power marketing model, the lack of lean analysis of business data and business risk control, enterprise production and operation there are more problems. For example, in terms of management, the current management system and management level is relatively backward. Electricity marketing work directly affects the operating efficiency of electric power enterprises, and the abovementioned issues have increased the operating risks of electric power enterprises to a certain extent, bringing more uncontrollable factors to the production and operation of electric power enterprises. For the current situation of power marketing risk control work, this paper uses AHP hierarchical analysis and power data to analyze business users. By constructing the judgment matrix and calculating the affiliation degree, the credit scoring rating system of enterprise users is built and a new credit management model for enterprise users is proposed. The experimental results show that our method can effectively evaluate the credit of corporate users.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yingying Zhao
AU  - Naiwang Guo
AU  - Yi Wu
AU  - Yingjie Tian
AU  - Yun Su
PY  - 2022
DA  - 2022/12/29
TI  - Enterprise User Credit Evaluation Model Based on Hierarchical Analysis Method
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1164
EP  - 1169
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_166
DO  - 10.2991/978-94-6463-042-8_166
ID  - Zhao2022
ER  -