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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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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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Fuzzy Lie Algebras

like interval-valued fuzzy Lie ideals, characterizations of Noetherian Lie algebras, quotient Lie algebras via interval-valued fuzzy Lie ideals;

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

different levels. Lastly for robust performance, disturbance is applied in MLS.For this task we have designed Interval Type-2 Fuzzy Logic Controller;

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Uncertain Rule-Based Fuzzy Systems

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.e., type-2;

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Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the;

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Fine Kinney Based Fuzzy Multi criteria Occupational Risk Assessment

Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the;

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

inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval;

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Decision Making Theories and Methods Based on Interval Valued Intuitionistic Fuz

fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with;

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Cognitive Modeling of Human Memory and Learning

classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR;

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Decision Making Theories and Methods Based on Inte

intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with;

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Interval-Valued Intuitionistic Fuzzy Sets

The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the;

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Interval-Valued Intuitionistic Fuzzy Sets

The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the;

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Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making;

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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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Type 2 Fuzzy Neural Networks and Their Applications

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a;

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Fuzzy Probabilities and Fuzzy Sets for Web Planning

to know about fuzzy sets for this book comprises Chapter 2. Two other items relating to fuzzy sets, needed in Chapters 13-17, are also;

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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems

, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and;

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Concepts of Soft Computing

presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner;

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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 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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Introduction To Type-2 Fuzzy Logic Control

Written by world-class leaders in type-2 fuzzy logic control, this book offers a self-contained reference for both researchers and students;

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

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed;

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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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Information Processing and Management of Uncertainty in Knowledge-Based Systems

learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;

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