The Comparative of Attribute Selection Techniques between CFS and Consistency by Using ANFIS for Thai Enterprises Bankruptcy Prediction

Main Article Content

Kulthon Kasemsan
Wonlop Buachoom


- This paper presents the comparison of attribute selection techniques between CFS and Consistency for seeking better technique which could appropriately associate with ANFIS. Better model will be used for predicting business bankruptcy in Thai enterprises. According the objective of this study, there are two prediction models, CFS-ANFIS and Consistency-ANFIS. Type 1 error from estimation, which effect to stakeholders’ decision making, is used for consider each model. The result indicates that estimation error rates obtained from CFS-ANFIS are lower than the error rates obtained from Consistency-ANFIS.

Article Details

How to Cite
K. Kasemsan and W. Buachoom, “The Comparative of Attribute Selection Techniques between CFS and Consistency by Using ANFIS for Thai Enterprises Bankruptcy Prediction”, JIST, vol. 1, no. 1, pp. 9–14, Jun. 2010.
Research Article: Soft Computing (Detail in Scope of Journal)


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