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Insight into Fuzzy Modeling

of fuzzy modeling. The second part presents selected applications in three important areas: control and decision-making, image processing, and time;

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

equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory;

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Fuzzy Modeling and Control Theory and Applications

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the;

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Fuzzy Control of Industrial Systems

Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory;

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

mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern;

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

mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern;

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Fuzzy Set Theory-and Its Applications

of the research. This edition includes new chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control;

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Fuzzy Set Theory-And Its Applications

of the research. This edition includes new chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control;

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Fuzzy Set Theory and Advanced Mathematical Applications

coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The;

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Fuzzy Control Systems

theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy;

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Fuzzy Control Systems

application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for;

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Fuzzy Control Systems Design And Analysis

stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number;

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Fuzzy Dynamic Equations, Dynamic Inclusions, and Optimal Control Problems on Time Scales

, engineering and technology. In some cases, there exists uncertainty, ambiguity, or vague factors in such problems, and fuzzy theory and interval;

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Fuzzy Control

text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date;

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Introduction to Fuzzy Systems

mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a;

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Fuzzy Controller Design

theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory;

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Fuzzy Graph Theory with Applications to Human Trafficking

This book reports on advanced concepts in fuzzy graph theory, showing a set of tools that can be successfully applied to understanding and;

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Secure Control of Networked Control Systems and Its Applications

fundamental knowledge prepared to read this book includes delay system theory, event triggered mechanism, T-S fuzzy system theory and frequency;

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Hydrogen-Air PEM Fuel Cell

, fuzzy cluster modeling, SPM-based predictive control and advanced fuzzy control. MATLAB/Simulink-based modeling and control programs are;

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Introduction To Type-2 Fuzzy Logic Control

useful to students and engineers wanting to learn type-2 fuzzy control theory and its applications.;

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Intelligent Adaptive Control: Industrial Applications

application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control;

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Fuzzy Control and Identification

unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example;

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Recent Advances in Modeling, Analysis and Systems Control

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;

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Recent Advances in Modeling, Analysis and Systems Control

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;

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

; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe;

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