[1]ZUO Rui-juan,WU Yong-hua.Extracting fuzzy classification rules using clonal select ion algorithm[J].CAAI Transactions on Intelligent Systems,2007,2(4):74-79.
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Extracting fuzzy classification rules using clonal select ion algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 4 Page number: 74-79 Column: 学术论文—智能系统 Public date: 2007-08-25
Title:
Extracting fuzzy classification rules using clonal select ion algorithm
Author(s):
ZUO Rui-juan; WU Yong-hua
Faculty of Software, Fujian Normal University, Fuzhou 350007, China
Keywords:
fuzzy rules extraction;  fuzzy partition;  clonal selec tion algorithm.
CLC:
TP18
DOI:
-
Abstract:
Classification is crucial for many research domains, but the quality o f extracted fuzzy rules has a great influence on the performance of classifiers. It is not only necessary that extracted rules have optimal performance in class ification, but also the number of rules must be as small as possible, otherwise, rule searching and matching becomes slow. In this paper, using the clone sele ction algorithm, the best rules were extracted from massive sets of fuzzy ifth e n rules generated from multiple precision fuzzy partitions. Thus a set of effect ive rules for fuzzy classification were developed. Also the optimal objective fu nction was improved. Test results prove that the proposed method uses fewer rul es and has high classification precision.
References:
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