Development of a quick credibility scoring decision support system using fuzzy TOPSIS

被引:49
|
作者
Ic, Yusuf Tansel [1 ]
Yurdakul, Mustafa [2 ]
机构
[1] Baskent Univ, Dept Ind Engn, Fac Engn, TR-06530 Ankara, Turkey
[2] Gazi Univ, Dept Mech Engn, Fac Engn & Architecture, TR-06570 Ankara, Turkey
关键词
Credit scoring; Industry scoring; Decision support system; Fuzzy TOPSIS; MODEL; SELECTION; AHP;
D O I
10.1016/j.eswa.2009.05.038
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In MIS study, a quick credibility scoring decision support system is developed for the banks to determine the credibility of manufacturing firms in Turkey. The proposed decision support system is expected to be used by the banks when they want to determine whether an applicant firm is worth a detailed credit check or not. Using such a quick credit scoring decision model reduces the banks' workload. The proposed credit scoring model is based on the financial ratios and fuzzy TOPSIS approach. It obtains two separate scores which reflect the attractiveness of manufacturing industries within the overall economy and manufacturing firms' performance with respect to its competitors belonging to the same industry. These two scores are then used to determine the credibility of applicant manufacturing firms. The developed decision support system is tested with various real cases and satisfactory results are obtained. An application is also provided in the paper for illustrative purposes. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:567 / 574
页数:8
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