Title :
Tutorial on the uses of the interval type-2 fuzzy set’s Wavy Slice Representation Theorem
Author :
Mendel, Jerry M.
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
Abstract :
This tutorial paper demonstrates how the Wavy Slice Representation Theorem (RT) for a general type-2 fuzzy set (T2 FS), when specialized to an interval T2 FS (IT2 FS), can be used as the starting point to solve many diverse problems that involve IT2 FSs. The problems considered are: Set theoretic operations, centroid, uncertainty measures, similarity, inference engine computations for Mamdani IT2 fuzzy logic systems, and linguistic weighted average. Each solution obtained from the RT is a structural solution but is not a computational solution, however the latter are always found from the former. It is this author´s recommendation that one should use the RT as a starting point whenever solving a new problem involving IT2 FSs, because it has had such great success in solving so many such problems in the past.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; type theory; Mamdani IT2 fuzzy logic systems; inference engine computation; interval type-2 fuzzy set; linguistic weighted average; uncertainty measures; wavy slice representation theorem; Embedded computing; Engines; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image processing; Measurement uncertainty; Signal processing; Tutorial; Centroid; interval type-2 fuzzy logic systems; interval type-2 fuzzy sets; representation theorem; uncertainty measures;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531278