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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
A New Sparse Rule-Based Fuzzy Reasoning Method
Kitakyushu, Japan
December 05-December 08
ISBN: 0-7695-2291-2
Baowen Wang, Yanshan University, China
Xia Li, Shijiazhuang University of Economics, China
Wenyuan Liu, Yanshan University, China
Yan Shi, Kyushu Tokai University, Japan
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.
Citation:
Baowen Wang, Xia Li, Wenyuan Liu, Yan Shi, "A New Sparse Rule-Based Fuzzy Reasoning Method," his, pp.462-467, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004
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