DocumentCode :
895872
Title :
Fuzzy multimodels
Author :
Pedrycz, Witold
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume :
4
Issue :
2
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
139
Lastpage :
148
Abstract :
Fuzzy multimodeling is concerned with the design and utilization of families rather than a single model. The intent is to approximate data that are originated by phenomena whose nature is more relation based than function oriented. In general, fuzzy multimodels comprise a collection of local models M1, M2,···,MC along with the relevant mechanisms of their triggering and aggregating, aimed at assuring a suitable interaction between these models. The idea of multimodeling is contrasted with some other approaches to fuzzy modeling available in the current literature. The algorithmic details are laid down and illustrated through several detailed simulation studies
Keywords :
fuzzy set theory; fuzzy systems; modelling; optimisation; pattern recognition; aggregating mechanism; fuzzy clustering; fuzzy multimodels; multimodeling; optimisation; triggering mechanism; Clustering algorithms; Councils; Noise level;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/91.493908
Filename :
493908
Link To Document :
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