Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Evolutionary Fuzzy Case-based Reasoning for Financial Performance Ranking

Authors
Sheng-Tun Li 0, Hei-Fong Ho, Yi-Chung Cheng
Corresponding Author
Sheng-Tun Li
0National Cheng Kung University
Available Online October 2006.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.141How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.141
DO  - https://doi.org/10.2991/jcis.2006.141
ID  - Li2006/10
ER  -