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research-article

Type-2 fuzzy sets made simple

Published: 01 April 2002 Publication History

Abstract

Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: (1) establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, (2) presenting a new representation for type-2 fuzzy sets, and (3) using this new representation to derive formulas for union, intersection and complement of type-2 fuzzy sets without having to use the Extension Principle

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  • (2024)T2FMJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23291846:2(3231-3244)Online publication date: 14-Feb-2024
  • (2024)A comparative analysis of prediction problems utilizing Interval type-2 fuzzy and machine learning modelsInternational Journal of Hybrid Intelligent Systems10.3233/HIS-24000820:4(301-316)Online publication date: 1-Jan-2024
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cover image IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems  Volume 10, Issue 2
April 2002
159 pages

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IEEE Press

Publication History

Published: 01 April 2002

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