Application of Grey Comprehensive Entropy Weight Clustering Method in Performance Evaluation of Banks

DOI

10.2991/mmetss-16.2017.83How to use a DOI?

Keywords

Entropy weight, Grey clustering method, Management performance evaluation.

Abstract

The performance of commercial banks not only affects their own development, but also relates to the operation of the national macro economy. Through the analysis of the banking business. From the four aspects of profitability, management ability, growth and development ability and the security of bank assets, establish evaluation index system. With reference to the information entropy, the weight of each index is determined from two aspects: subjective and objective, and the evaluation method of grey cluster evaluation is used to evaluate the performance of the 16 listed banks. The results show that the overall performance of listed banks in China is in a good level.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuyang Jie
AU  - Fenyi Dong
PY  - 2017/02
DA  - 2017/02
TI  - Application of Grey Comprehensive Entropy Weight Clustering Method in Performance Evaluation of Banks
BT  - Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/mmetss-16.2017.83
DO  - 10.2991/mmetss-16.2017.83
ID  - Jie2017/02
ER  -