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Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2;

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Edge Detection Methods Based on Generalized Type 2 Fuzzy Logic

In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra;

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Uncertain Rule-Based Fuzzy Logic Systems

fuzzy logic to the next level-type-2 fuzzy logic. It presents a complete development of both type-1 and type-2 fuzzy logic systems, showing how;

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Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications

multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved;

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Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications

multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved;

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New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

and literature references based on fuzzy logic. Nowadays, the evolution of intelligence systems for decision making has been reached;

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Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control

(IT2FLC), Interval Type-2 Single Input Fuzzy Logic Controller (IT2SIFLC), Interval Type-2 Fuzzy Sliding Mode Controller (IT2FSMC) based on theory;

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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also;

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Introduction to Fuzzy Systems

fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods;

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A First Course In Fuzzy Logic

solid background for readers to pursue further studies and real-world applications. New in the Third Edition:A section on type-2 fuzzy sets - a;

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Introduction To Type-2 Fuzzy Logic Control

. The coverage provides both background and an extensive literature survey on fuzzy logic and related type-2 fuzzy control. It also includes;

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Fuzzy Control Systems

This book reviews fuzzy control systems. Chapter One presents a new class of fuzzy logic systems named type-2 fuzzy logic systems (T2FLS;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics;

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Analysis and Synthesis of Fuzzy Control Systems

been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T-S) fuzzy model-based approaches receiving the greatest attention;

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Analysis and Synthesis of Fuzzy Control Systems

been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T-S) fuzzy model-based approaches receiving the greatest attention;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

based on type-1 and type-2 fuzzy logic and their applications. There are also some papers that present theory and practice of meta-heuristics;

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Advances and New Developments in Fuzzy Logic and Technology

Generalized Nets-held on October 24-25, 2019, in Warsaw, Poland, which is one of the main conferences on fuzzy logic, notably on extensions of the;

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods;

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Fuzzy Control and Identification

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;

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Uncertain Rule-Based Fuzzy Systems

-based systems - from type-1 to interval type-2 to general type-2 - in one volume. For hands-on experience, the book provides information on;

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Type 2 Fuzzy Granular Models

is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via;

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Biological Models via Interval Type-2 Fuzzy Sets

in biological modeling. Interval type-2 fuzzy modeling is a comparatively recent direction of research in fuzzy modeling. As the modeling of biological;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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Mathematical Principles of Fuzzy Logic

Mathematical Principles of Fuzzy Logic provides a systematic study of the formal theory of fuzzy logic. The book is based on logical;

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