Rule weight specification in fuzzy rule-based classification systems

This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-based classification systems. First, we propose two heuristic methods for rule weight specification. Next, the proposed methods are compared with existing ones through computer simulations on artificial numerical...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2005-08, Vol.13 (4), p.428-435
Main Authors: Ishibuchi, H., Yamamoto, T.
Format: Article
Language:English
Subjects:
Association rules
Computational modeling
Computer simulation
Data mining
Degradation
Fuzzy sets
Fuzzy systems
Industrial engineering
Knowledge based systems
Pattern classification
rule generation
rule selection
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Summary:This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-based classification systems. First, we propose two heuristic methods for rule weight specification. Next, the proposed methods are compared with existing ones through computer simulations on artificial numerical examples and real-world pattern classification problems. Simulation results show that the proposed methods outperform the existing ones in the case of multiclass pattern classification problems with many classes.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2004.841738