DocumentCode :
2419990
Title :
Approximated Type-2 Fuzzy Set Operations
Author :
Tahayori, Hooman ; Tettamanzi, Andrea G B ; Antoni, Giovanni Degli
Author_Institution :
Univ. degli Studi di Milano, Milan
fYear :
0
fDate :
0-0 0
Firstpage :
1910
Lastpage :
1917
Abstract :
Type-2 fuzzy sets, an elaboration over type-1 fuzzy sets, are an interesting method for handling uncertainty in rules and parameters in fuzzy systems. However, their adoption has not been as wide as one could have expected. In this paper we provide a simple introduction to type-2 fuzzy sets; then we propose a novel method for calculating operations on type-2 fuzzy sets with normal type-1 membership values, for which we redefine set ordering. Finally, based on the max ordering of fuzzy set and highest degree of separation, we propose an approximation for performing the operations, which ensures that the calculation is accurate for the most important parts of the membership values.
Keywords :
fuzzy set theory; uncertainty handling; approximated type-2 fuzzy set operations; redefine set ordering; type-1 membership values; uncertainty handling; Decision making; Educational institutions; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Genetic mutations; Humans; Mathematics; Set theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681965
Filename :
1681965
Link To Document :
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