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

considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results;

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

fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a;

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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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Edge Detection Methods Based on Generalized Type 2 Fuzzy Logic

goal of using generalized type-2 fuzzy logic in edge detec-tion applications is to provide them with the ability to handle uncertainty;

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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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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for;

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Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers

This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and;

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Introduction to Fuzzy Systems

control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior;

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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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An Introduction to Fuzzy Logic for Practical Applications

Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to;

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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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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms;

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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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A First Course In Fuzzy Logic

A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic;

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Type 2 Fuzzy Neural Networks and Their Applications

of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making;

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Fuzzy Logic Speed Controllers Using FPGA Technique

In this Book, a modern FPGA card (Spartan-3A, Xilinx Company) is used to realized a novel Fuzzy- PID control strategy on a complex system;

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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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Biological Models via Interval Type-2 Fuzzy Sets

This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2 fuzzy sets and their application;

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

monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the;

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