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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.