Evolutionary Fuzzy Case-based Reasoning for Financial Performance Ranking

DOI

10.2991/jcis.2006.141How to use a DOI?

Keywords

Case-Based Reasoning, Genetic Algorithms, Fuzzy Nearest Neighbor algorithm, financial statement analysis, financial performance ranking.

Abstract

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.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sheng-Tun Li
AU  - Hei-Fong Ho
AU  - Yi-Chung Cheng
PY  - 2006/10
DA  - 2006/10
TI  - Evolutionary Fuzzy Case-based Reasoning for Financial Performance Ranking
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.141
DO  - 10.2991/jcis.2006.141
ID  - Li2006/10
ER  -