@inproceedings{19201c2b85d94da594686842669140e8,
title = "Credit evaluation of gas consumers by combining hierarchy analysis with clustering",
abstract = "Credit evaluation of customer is an important task for gas companies to achieve marketing management, and is of great significance to improve the economic efficiency of enterprises. By analyzing various factors influencing gas customer credit, a gas customer credit index hierarchy is established. Then, based on the credit index hierarchy, this paper proposes a hybrid credit evaluation method by cluster analysis and analytic hierarchy process(AHP). This method first divides gas customers into different groups by cluster analysis, then determines the credit index weight by AHP, and finally evaluates gas customer credit rating by combining the above two results. The empirical analysis of the actual data of a gas company shows that as a synthesis of customer data's statistical properties and gas professionals' actual work experience, this model can evaluate gas customer credit rating rationally and effectively.",
keywords = "Analytic hierarchy process, Cluster analysis, Credit evaluation, Gas consumer, Hybrid analysis, K-means algorithm",
author = "Wenqing Xu and Huiqun Yu and Jianmei Guo and Jinglei Shen and Huaiying Sun",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "27",
doi = "10.1109/ICIS.2017.7960107",
language = "英语",
series = "Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "827--832",
editor = "Xiaohui Cui and Shaowen Yao and Simon Xu and Guobin Zhu",
booktitle = "Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017",
address = "美国",
}