DocumentCode
3081073
Title
A new aspect for the optimization of fuzzy if-then rules
Author
Moraga, Claudio ; Salas, Rodrigo
Author_Institution
Dept. of Comput. Sci., Dortmund Univ., Germany
fYear
2005
fDate
19-21 May 2005
Firstpage
160
Lastpage
165
Abstract
Evolutionary optimization of fuzzy if-then rules for approximation is an area of research that has received much attention in the last years. The present paper adds a new possibility by proposing a method for data-driven reshaping or designing the uncertainty transitions of piecewise linear fuzzy sets representing the linguistic terms of the fuzzy rules.
Keywords
evolutionary computation; fuzzy logic; fuzzy set theory; data-driven reshape design; evolutionary algorithm; evolutionary optimization; fuzzy if-then rules; Computer science; Constraint optimization; Evolutionary computation; Fuzzy sets; Humidity; Multiresolution analysis; Piecewise linear approximation; Piecewise linear techniques; Shape; Uncertainty; Fuzzy if-then rules; evolutionary algorithms; order automorphisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Multiple-Valued Logic, 2005. Proceedings. 35th International Symposium on
ISSN
0195-623X
Print_ISBN
0-7695-2336-6
Type
conf
DOI
10.1109/ISMVL.2005.3
Filename
1423178
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