Evolutionary fuzzy case-based reasoning for financial performance ranking

Sheng Tun Li, Hei Fong Ho, Yi Chung Cheng

研究成果: Conference contribution

摘要

In this paper, we propose a hybrid decision model for supporting the ranking financial status of corporations using case-based reasoning augmented with genetic algorithms and the fuzzy nearest neighbor method. An empirical experimentation on 746 cases was conducted that shows that the average accuracy of the ranking is about 92% and 80% for the first order and the second order, respectively. This confirms that the proposed approach is very effective and can make a significant contribution to the decision-making of ranking.

原文English
主出版物標題Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
出版狀態Published - 2006 十二月 1
事件9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
持續時間: 2006 十月 82006 十月 11

出版系列

名字Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
2006

Other

Other9th Joint Conference on Information Sciences, JCIS 2006
國家Taiwan
城市Taiwan, ROC
期間06-10-0806-10-11

指紋

Case based reasoning
Genetic algorithms
Decision making
Industry

All Science Journal Classification (ASJC) codes

  • Engineering(all)

引用此文

Li, S. T., Ho, H. F., & Cheng, Y. C. (2006). Evolutionary fuzzy case-based reasoning for financial performance ranking. 於 Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 [CIEF-175] (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; 卷 2006). https://doi.org/10.2991/jcis.2006.141
Li, Sheng Tun ; Ho, Hei Fong ; Cheng, Yi Chung. / Evolutionary fuzzy case-based reasoning for financial performance ranking. Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006).
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Li, ST, Ho, HF & Cheng, YC 2006, Evolutionary fuzzy case-based reasoning for financial performance ranking. 於 Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006., CIEF-175, Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, 卷 2006, 9th Joint Conference on Information Sciences, JCIS 2006, Taiwan, ROC, Taiwan, 06-10-08. https://doi.org/10.2991/jcis.2006.141

Evolutionary fuzzy case-based reasoning for financial performance ranking. / Li, Sheng Tun; Ho, Hei Fong; Cheng, Yi Chung.

Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. CIEF-175 (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; 卷 2006).

研究成果: Conference contribution

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Li ST, Ho HF, Cheng YC. Evolutionary fuzzy case-based reasoning for financial performance ranking. 於 Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. CIEF-175. (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006). https://doi.org/10.2991/jcis.2006.141