DocumentCode :
1285796
Title :
Fuzzy if... then rule models and their transformation into one another
Author :
Kóczy, László T.
Author_Institution :
Dept. of Telecommun. & Telematics, Tech. Univ. Budapest, Hungary
Volume :
26
Issue :
5
fYear :
1996
fDate :
9/1/1996 12:00:00 AM
Firstpage :
621
Lastpage :
637
Abstract :
The two most essential fuzzy rule-based models used in the literature and in the industrial applications are briefly described. The way of reasoning in these models is shown. Interpolative reasoning for the case of sparse rule bases is also discussed. Rule base compression by eliminating redundant rules whose information can be reconstructed within a set accuracy interval from the remaining rules by using the previous interpolation method is shown. A general fuzzy model is discussed that contains the previous fuzzy models (as well as the nonfuzzy one) as special cases. Ways of transforming the different approximative models into each other via the general model and interpolation are presented
Keywords :
fuzzy logic; fuzzy set theory; fuzzy systems; inference mechanisms; interpolation; knowledge based systems; approximative models; fuzzy model; fuzzy rule-based models; if-then rules; interpolative reasoning; rule base compression; sparse rule bases; Control systems; Control theory; Frequency; Fuzzy logic; Fuzzy sets; Interpolation; Optimal control; Real time systems; Sampling methods; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/3468.531909
Filename :
531909
Link To Document :
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