NDLI: A Disscussion on the Overlapping in Fuzzy Production Rule Reasoning

Content Provider	IEEE Xplore Digital Library
Author	Xi-Zhao Wang Feng Yang Yan Li
Copyright Year	2006
Description	Author affiliation: Machine Learning Center, Hebei Univ., Baoding (Xi-Zhao Wang; Feng Yang; Yan Li)
Abstract	When the fuzzy production rules (FPRs) are used for knowledge representation in rule-based system, overlapping exists among these rule sets corresponding to different classes. Each of the rule sets is composed of the rules which have the same consequence. In order to model and handle this kind of overlapping, this paper proposes a nonnegative non-additive set function and provides a new algorithm with respect to the new set function for rule-based system based on possibility measure and necessity measure, instead of assigning maximum similarity measure of sets of FPRs as the reasoning result. Experimental results on a number of selected databases show that handling overlapping in FPRs in this way can improve the reasoning accuracy and strengthen the reasoning capability of rule-based system
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4557
Ending Page	4562
File Size	294988
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Knowledge based systems Fuzzy sets Humans Machine learning Mathematics Computer science Fuzzy systems Production systems Knowledge representation Overlapping Approximate reasoning Fuzzy Production Rules Possibility measure Necessity measure
Content Type	Text
Resource Type	Article

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