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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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Advanced Concepts and Applications of Fuzzy Logic

The advanced concepts and applications of fuzzy logic are elucidated in this comprehensive book. This book presents novel perceptions and;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

logic is one approach to meeting this challenge and providing reliability and power quality. The book is about fuzzy logic;

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Introduction to Fuzzy Logic

of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the;

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Deep Neuro-Fuzzy Systems with Python

reviewing advanced neuro fuzzy models and applications. What You'll Learn Understand fuzzy logic, membership functions, fuzzy;

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Applications Of Fuzzy Logic In Bioinformatics

Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty;

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Fuzzy Logic in Chemistry

Fuzzy Logic has gained increasing acceptance as a way to deal with complexity and uncertainty in many areas of science and engineering;

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Fuzzy Information Measures with Applications

, fuzzy logic and applications, fuzzy relations and graphs, fuzzy rule base and applications, fuzzy systems and possibility and uncertainty;

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Information Processing and Management of Uncertainty

and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same;

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Fuzzy Information Processing

, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification;

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Intelligent Control

complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic;

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Fundamentals of Soft Computing and Intelligent System

artificial intelligence, and comprises fuzzy logic, neural networks and probabilistic reasoning techniques. It tries to imitate human reasoning in a;

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Fuzzy Logic

unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style;

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Advanced Fuzzy Logic Approaches in Engineering Science

apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches;

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

automatic design of classifiers and is focused in the Generalized Type-2 Fuzzy Logic, because the uncertainty handling can provide us with the;

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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

will also show the design of fuzzy logic controllers for this model to prove that the fuzzy controller can work properly with nonlinear system;

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An Introduction to Fuzzy Logic for Practical Applications

relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students;

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

techniques, and define and apply these techniques to deal with smart grid issues. Applications of Fuzzy Logic in Planning and Operation of Smart;

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

of type-2 fuzzy logic systems. Uncertainty is an inherent part of intelligent systems used in real world applications. Conventional controllers;

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A Learner's Guide to Fuzzy Logic Systems, Second Edition

of fuzzy logic as medium between human intelligence and machine.;

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Introduction To Many-Valued And Fuzzy Logic

Professor Merrie Bergmann presents an accessible introduction to the subject of many-valued and fuzzy logic designed for use on;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Artificial Intelligence for Smarter Power Systems

kind of artificial intelligence - fuzzy logic. Fuzzy logic uses variables that may be any real number between 0 and 1;

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Fuzzy Logic For Business, Finance, And Management (2nd Edition)

logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty;

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