文献类型：会议论文

英文题名：Credit Evaluation of Gas Consumers by Combining Hierarchy Analysis with Clustering

作者：Xu, Wenqing[1,2];Yu, Huiqun[1];Guo, Jianmei[1];Shen, Jinglei[1];Sun, Huaiying[1]

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Shanghai Key Lab Comp Software Evaluating & Testi, Shanghai 201112, Peoples R China

会议论文集：16th IEEE/ACIS International Conference on Computer and Information Science (ICIS)

会议日期：MAY 24-26, 2017

会议地点：Wuhan Univ, Wuhan, PEOPLES R CHINA

主办单位：Wuhan Univ

语种：英文

外文关键词：credit evaluation; gas consumer; hybrid analysis; cluster analysis; k-means algorithm; analytic hierarchy process

摘要：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.