1795599278     

Interval Type-3 Fuzzy Systems: Theory and Design / by Oscar Castillo, Juan R. Castro, Patricia Melin

Castro, Juan R. [Verfasserin/Verfasser] ; Melin, Patricia [Verfasserin/Verfasser]

1st ed. 2022.

Cham : Springer International Publishing [2022.] ; Cham : Imprint: Springer [2022.], 2022

1 Online-Ressource(VIII, 102 p. 60 illus., 46 illus. in color.)

Englisch

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

978-3-030-96515-0

978-3-030-96514-3 (ISBN der Printausgabe); 978-3-030-96516-7 (ISBN der Printausgabe); 978-3-030-96517-4 (ISBN der Printausgabe)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1007/978-3-030-96515-0

006.3     Ähnliche Literatur

bicssc: UYQ ; bisacsh: TEC009000

LOC-SH: Computational intelligence. ; Artificial intelligence.

Chapter 1: Introduction to Interval Type-3 Fuzzy Systems -- Chapter 2: Type-2 Fuzzy Logic Systems -- Chapter 3: Interval Type-3 Fuzzy Sets -- Chapter 4: Interval Type-3 Fuzzy Logic Systems -- Chapter 5: Conclusions of Type-3 Fuzzy Systems.

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This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and relations, also interval type-3 inference and systems. The use of type-2 fuzzy systems has become widespread in the leading economy sectors, especially in industrial and application areas, such as services, health, defense, and so on. However, recently the use of interval type-3 fuzzy systems has been receiving increasing attention and some successful applications have been developed in the last year. These issues were taken into consideration for this book, as we did realize that there was a need to offer the main theoretical concepts of type-3 fuzzy logic, as well as methods to design, develop and implement the type-3 fuzzy systems. A review of basic concepts and their use in the design and implementation of interval type-3 fuzzy systems, which are relatively new models of uncertainty and imprecision, are presented. The main focus of this work is based on the basic reasons of the need for interval type-3 fuzzy systems in different areas of application. In addition, we describe methods for designing interval type-3 fuzzy systems and illustrate this with some examples and simulations.