DocumentCode
836634
Title
Interval Type-2 Fuzzy Logic Systems Made Simple
Author
Mendel, Jerry M. ; John, Robert I. ; Liu, Feilong
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
Volume
14
Issue
6
fYear
2006
Firstpage
808
Lastpage
821
Abstract
To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). Unfortunately, there is a heavy educational burden even to using an IT2 FLS. This burden has to do with first having to learn general T2 FS mathematics, and then specializing it to an IT2 FSs. In retrospect, we believe that requiring a person to use T2 FS mathematics represents a barrier to the use of an IT2 FLS. In this paper, we demonstrate that it is unnecessary to take the route from general T2 FS to IT2 FS, and that all of the results that are needed to implement an IT2 FLS can be obtained using T1 FS mathematics. As such, this paper is a novel tutorial that makes an IT2 FLS much more accessible to all readers of this journal. We can now develop an IT2 FLS in a much more straightforward way
Keywords
computational complexity; fuzzy logic; fuzzy set theory; computational complexity; interval type-2 fuzzy logic system; type 2 fuzzy set; Computational complexity; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image processing; Investments; Mathematics; Signal processing; Uncertainty; Fuzzy logic system; interval type-2 fuzzy sets; type-2 fuzzy logic system; type-2 fuzzy sets;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2006.879986
Filename
4016089
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