Alternative diagnosis of corporate bankruptcy: A neuro fuzzy approach

被引:38
作者
Chen, Hsueh-Ju [3 ]
Huang, Shaio Yan [1 ]
Lin, Chin-Shien [2 ]
机构
[1] Natl Chung Cheng Univ, Dept Accounting & Informat Technol, Chiayi, Taiwan
[2] Natl Chung Hsing Univ, Dept Business Adm, Taichung, Taiwan
[3] Natl Chung Hsing Univ, Dept Accounting, Taichung, Taiwan
关键词
Bankruptcy; Neural network; Fuzzy logic; Neuro fuzzy; QUALITATIVE-RESPONSE MODEL; DISCRIMINANT-ANALYSIS; FINANCIAL RATIOS; NETWORKS; PREDICTION; SYSTEM; RISK;
D O I
10.1016/j.eswa.2008.09.023
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Bankruptcy filings are as high today as ever. calling into question the efficacy of existing bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy prediction by using neuro, fuzzy, a hybrid approach combining the functionality of fuzzy logic and the learning ability of neural networks. The empirical results show that neuro fuzzy demonstrates a better accuracy rate, lower misclassification cost and higher detecting power than does logit regression, meaning neuro fuzzy could be a great help in providing warnings of impending bankruptcy. Also, its comprehensive explanation about mapping functions among variables presumably provides a foundation for further development of theory and testing of the membership function shape, the transfer function, the methods to aggregate, the methods to defuzzify, and so on. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7710 / 7720
页数:11
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