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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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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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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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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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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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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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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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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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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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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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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory;

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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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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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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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Soft Computing with NeuroFuzzy Systems

recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive;

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Biological Models via Interval Type-2 Fuzzy Sets

fuzzy basic theory, before providing a comprehensive and didactic explanation of type-2 fuzzy set components. In turn, Fuzzy Rule-Based Systems;

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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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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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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the;

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

; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data;

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also;

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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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