A New Sparse Rule-Based Fuzzy Reasoning Method

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 31 Mar 2005Publisher:IEEEJournal:Fourth International Conference on Hybrid Intelligent Systems (HIS'04)

Authors: Baowen Wang; Xia Li; Wenyuan Liu; Yan Shi;

doi: 10.1109/ichis.2004.9

A New Sparse Rule-Based Fuzzy Reasoning Method

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Abstract

This paper presents a new fuzzy interpolative reasoning method in the sparse fuzzy rule bases based on so-called similarity relations of fuzzy sets. By this reasoning method, an inference consequence can be simply obtained, and is a normal and convex fuzzy set without any limitation, which shows the potential ability of the proposed method in real-world fuzzy applications.

Related Organizations

Yanshan University
China (People's Republic of)
Tokai University
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Hebei GEO University
China (People's Republic of)
Kyushu Tokai University
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