DocumentCode
1558515
Title
Type-2 Fuzzy Logic: Challenges and Misconceptions [Discussion Forum]
Author
John, Robert ; Coupland, Simon
Author_Institution
Centre for Comput. Intell., De Montfort Univ., Leicester, UK
Volume
7
Issue
3
fYear
2012
Firstpage
48
Lastpage
52
Abstract
This material is based on contributions by a number of people including Janet Aisbett, Humberto Bustince, Oscar Castillo, Jonathan M. Garibaldi, Hani Hagras, Vladik Kreinovich, Jerry M. Mendel, Frank Rhee, Terry Rickard, Woei Wan Tan and Christian Wagner including notably discussions at a Panel Session at the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems organized by Garibaldi, Hagras and Rhee. This paper focuses on the challenges of theoretical underpinning including notation, learning type-2 sets and systems and broadening the areas where type-2 system are applied. The misconceptions we discuss are around computational performance of type-2 systems and notion that type-2 systems are intended to replace type-1 fuzzy systems.
Keywords
fuzzy logic; fuzzy set theory; learning (artificial intelligence); type-2 fuzzy logic systems; type-2 sets learning; Fuzzy logic; Performance evaluation;
fLanguage
English
Journal_Title
Computational Intelligence Magazine, IEEE
Publisher
ieee
ISSN
1556-603X
Type
jour
DOI
10.1109/MCI.2012.2200632
Filename
6244688
Link To Document