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

By: Castillo, Oscar, (1959-), autor
Contributor(s): Castro, Juan R., autor | Melin, Patricia (1962-), autor
Material type: materialTypeLabelE-bookSeries: (Studies in Fuzziness and Soft Computing, 1860-0808; 418).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (VIII, 102 páginas) : 60 ilustraciones, 46 ilustraciones a color.ISBN: 9783030965150.Subject: Sistemas difusos | Lógica difusaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
In: Springer Nature eBookSummary: 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.
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LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA9.64 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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QA9.64 2021 EB Fuzzy Logic : Recent Applications and Developments QA9.64 2021 EB Advances and New Developments in Fuzzy Logic and Technology : Selected Papers from IWIFSGN'2019 - The Eighteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets held on October 24-25, 2019 in Warsaw, Poland QA9.64 2022 EB Uncertainty and Imprecision in Decision Making and Decision Support: New Advances, Challenges, and Perspectives : Selected papers from BOS-2020, held on December 14-15, 2020, and IWIFSGN-2020, held on December 10-11, 2020 in Warsaw, Poland QA9.64 2022 EB Interval Type-3 Fuzzy Systems : Theory and Design QA9.64 2022 EB Contemporary Fuzzy Logic : A Perspective of Fuzzy Logic with Scilab QA9.64 A383 2018 EB Advances in Fuzzy Logic and Technology 2017 Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017 - The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 3 QA9.64 A383 2018 EB Advances in Fuzzy Logic and Technology 2017 Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017 - The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 1

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.

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.

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