Title
Reasoning conditions on Ko´czy's interpolative reasoning method in sparse fuzzy rule bases
Abstract
In the sparse fuzzy rule bases, conventional fuzzy reasoning methods encounter difficulties because of the lack of inference evidence. To tackle this problem, Kóczy and Hirota have proposed a fuzzy reasoning method called a linear interpolative reasoning method. In this paper, we analyze the Kóczy and Hirota's reasoning method and find that the reasoning consequences by this method sometimes become abnormal fuzzy sets. The conditions of the reasoning method are also discussed analytically.
Year
DOI
Venue
1995
10.1016/0165-0114(94)00337-7
Fuzzy Sets and Systems
Keywords
DocType
Volume
Linear interpolation,reasoning condition,Sparse fuzzy rule bases,sparse fuzzy rule base,interpolative reasoning method,Interpolative reasoning,Fuzzy reasoning
Journal
75
Issue
ISSN
Citations 
1
Fuzzy Sets and Systems
35
PageRank 
References 
Authors
3.88
2
3
Name
Order
Citations
PageRank
Yan Shi128527.64
Masaharu Mizumoto2766406.85
Wu Zhi Qiao317017.47