NDLI: An Application of Fuzzy Cognitive Map Based on Active Hebbian Learning Algorithm in Credit Risk Evaluation of Listed Companies

Content Provider	IEEE Xplore Digital Library
Author	Dong-Sheng Zhai Ya-Nan Chang Juan Zhang
Copyright Year	2009
Abstract	This paper suggests using FCM to investigate the problem of credit risk evaluation of listed companies by referring to some domestic and abroad researches of fuzzy cognitive map and credit risk. Firstly, the present research status of FCM is briefly introduced. Then, this paper completely studies the basis theory and inner inference mechanism of FCM, and the Active Hebbian Learning (AHL) algrithoms of it are especially described. Finally, this paper studies how to model and simulate the problem of credit risk evaluation of listed companies using FCM. The first section of this part analyzes the factors that affect the level of creid risk of listed companies; then, the next section studies how to construct the FCM of credit risk evaluation of listed companies based on qualitative consideration. In the end, the developped FCM model is tested by applying the AHL algrithom based on 96 samples, and we justified the effectiveness of the FCM model for evaluating credit risk level of listed companies.
Starting Page	89
Ending Page	93
File Size	404489
Page Count	5
File Format	PDF
ISBN	9781424438358
DOI	10.1109/AICI.2009.214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy cognitive maps Decision making Conference management Paper technology Fuzzy Cognitive Map Technology management Engineering management Active Hebbian Learning Credit Risk Evaluation Risk management Hebbian theory Artificial intelligence Computational intelligence
Content Type	Text
Resource Type	Article

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