DocumentCode
2386037
Title
Type-2 Fuzzy Logic: Theory and Applications
Author
Castillo, Oscar ; Melin, Patricia ; Kacprzyk, Janusz ; Pedrycz, Witold
Author_Institution
Univ. of Alberta, Edmonton
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
145
Lastpage
145
Abstract
Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy" sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function and an inferior membership function; these two functions can be represented each one by a type-1 fuzzy set membership function. The interval between these two functions represents the footprint of uncertainty (FOU), which is used to characterize a type-2 fuzzy set.
Keywords
fuzzy logic; fuzzy set theory; Type-2 fuzzy logic; fuzzy set membership function; Calculus; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Measurement uncertainty; Power engineering and energy; Sorting; Statistical analysis; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.118
Filename
4403084
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