The Comparative of Attribute Selection Techniques between CFS and Consistency by Using ANFIS for Thai Enterprises Bankruptcy Prediction
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Creator Kulthon Kasemsan
Title The Comparative of Attribute Selection Techniques between CFS and Consistency by Using ANFIS for Thai Enterprises Bankruptcy Prediction
Contributor Wonlop Buachoom
Publisher Faculty of Information Science and Technology, Mahanakorn University of Technology
Publication Year 2553
Journal Title Journal of Information Science and Technology
Journal Vol. 1
Journal No. 1
Page no. 9-14
Keyword Attribute Selection, ANFIS, Bankruptcy Prediction
URL Website https://tci-thaijo.org/index.php/JIST
Website title Journal of Information Science and Technology
ISSN 2651-1053
Abstract 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.
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