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Author Uehara, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy sets ♦ Inference algorithms ♦ Fuzzy systems ♦ Explosions ♦ Information systems ♦ Laboratories ♦ Research and development ♦ Fuzzy control ♦ Control system synthesis ♦ Modeling
Abstract This paper proposes a fuzzy inference method based on a weighted average of fuzzy sets. This method has the property of always obtaining the inference consequence in the form of convex fuzzy sets as long as the then-parts of conditional propositions are defined with normal and convex fuzzy sets. This property is quite useful in introducing learning functions to a fuzzy inference scheme, in particular, when fuzzy-input/fuzzy-output pairs are given by convex fuzzy sets as its exemplar patterns. Moreover, the proposed method can clarify the maximum value of the fuzziness in the inference consequences in advance of its inference operations. In multistage-parallel fuzzy-inference form, it can solve the problem of increasing the fuzziness of the inference consequences in every stage, which possibly results in fuzziness explosion. Reflecting the properties mentioned above, a learning algorithm is derived for multistage-parallel fuzzy-inference with fuzzy exemplar patterns given by convex fuzzy sets.<<ETX>>
Description Author affiliation: Commun. & Inf. Syst. Res. Lab., Toshiba Corp., Kawasaki, Japan (Uehara, K.)
ISBN 0780324617
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-03-20
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 484.34 kB
Page Count 8
Starting Page 2253
Ending Page 2260


Source: IEEE Xplore Digital Library