@inproceedings{02ea80f4f9e64ba8b7870d080454f909,
title = "Credit evaluation based on the improved super-efficiency method",
abstract = "For internet finance companies, in order to differentiate good customers from bad customers, ranking and classifying customers according to credit scores is an important means to avoid risk. In the paper, an improved super-efficiency method is obtained and applied to evaluate the customers' credit in internet finance companies. In contrast to the super-efficiency method, computing results shows the improved method can really overcome two shortcomings of the original method: (1) relative efficiency values of some decision-making units are too large; (2) infeasibility problem can occurred in the original model. Furthermore, compared with other modified super-efficiency method, the improved method is simple. Data analysis illustrates that the improved method can rank and classify customers rationally. So the new method can provide feasible decision basis for risk management.",
keywords = "Credit evaluation, Data envelopment analysis, Decision-making unit, Rank, Super-efficiency method",
author = "Xia Hua and Han, \{Wei Yi\} and Quan, \{Shan Shan\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th Annual International Conference on Management Science and Engineering, ICMSE 2017 ; Conference date: 17-08-2017 Through 20-08-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICMSE.2017.8574388",
language = "英语",
series = "International Conference on Management Science and Engineering - Annual Conference Proceedings",
publisher = "IEEE Computer Society",
pages = "569--574",
editor = "Ma Tao and Shao Zhen and Ji Yuan",
booktitle = "2017 International Conference on Management Science and Engineering - 24th Annual Proceedings, ICMSE 2017",
address = "美国",
}