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A new sparse rule-based fuzzy reasoning method

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4 Author(s)
Baowen Wang ; Sch. of Inf. Sci. & Eng., Yanshan Univ., China ; Xia Li ; Wenyuan Liu ; Yan Shi

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.

Published in:

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Date of Conference:

5-8 Dec. 2004