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Engineering - Computational Intelligence and Complexity | Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications

Advances in Type-2 Fuzzy Sets and Systems

Theory and Applications

Sadeghian, Alireza, Mendel, Jerry, Tahayori, Hooman (Eds.)

2013, X, 262 p. 103 illus., 41 illus. in color.

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  • Explores real world problems which examines the frameworks that enable handling different types and levels of uncertainty
  • Provides introductory materials for potential readers and providing justifications for the use of type-2 fuzzy set
  • Discusses the applications of type-2 fuzzy sets in text classification, intrusion detection, control systems and will compare the efficiency and performance of the systems with their counterparts implemented with type-1 fuzzy sets
This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet.  The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.

Content Level » Research

Keywords » Computational Intelligence - Fuzzy logic - Fuzzy sets - Granular Computing - Soft Computing - Type-2 Fuzzy Sets

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

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