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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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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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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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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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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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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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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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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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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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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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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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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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Type 2 Fuzzy Granular Models

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces;

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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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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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Introduction to Fuzzy Systems

. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic;

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Everything that Linguists have Always Wanted to Know about Logic . . . But Were Ashamed to Ask

quantifiers, and fuzzy logic-with new material on the logic of conditional sentences, linguistic applications of type theory, Anil Gupta's work on;

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Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and;

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Fuzzy Neural Networks for Real Time Control Applications

> Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which;

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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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Fuzzy Control Systems

solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems;

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Fuzzy Image Processing and Applications with MATLAB

, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on;

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