articleIEEE Transactions on Fuzzy SystemsDec 1, 2006Closed access

Interval Type-2 Fuzzy Logic Systems Made Simple

University of Southern California · De Montfort University

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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…

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Authors

3

Topics & keywords

Keywords
  • Interval (graph theory)
  • Fuzzy logic
  • Fuzzy set
  • Simple (philosophy)
  • Set (abstract data type)
  • Computer science
  • Type (biology)
  • Artificial intelligence
UN Sustainable Development Goals
  • Quality Education
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