文章基本信息

标题：A hybrid grey based K-means and feature selection for bank evaluation
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作者：Emami, M. ; Razi, F.
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2014
卷号：3
期号：3
页码：269-274
语种：English
出版社：Growing Science Publishing Company
摘要：Performance measurement plays essential role on improving the performance of business units and their efficiencies. During the past few years, there have been tremendous development in banking systems and the primary focus of many managers is to improve the quality of services for market retention. Performance measurement in banking industry is normally involved with various qualitative as well as quantitative criteria, which leads to the implementation of multiple criteria decision making techniques. This paper presents a hybrid grey relational analysis and K-means to cluster and measure the performance of banking system. The proposed study uses different criteria, clusters banks into various segments and ranks 43 different banks in city of Semnan, Iran.
关键词：Banking industry;K-means;Ranking