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Simulating Continuous Fuzzy Systems
through 6. In part two, Chapters 7-26, we present the applications. This book continues our research into simulating fuzzy systems. We started;
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Fuzzy Probability and Statistics
Poisson,binomial) and continuous (uniform, normal, exponential) fuzzy random variables. From FS we included chapters on fuzzy estimation and fuzzy;
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Fuzzy Control Systems
Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues;
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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
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;
Vergelijkbare producten zoals Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;
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Fuzzy Neural Intelligent Systems
Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development;
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Uncertain Rule-Based Fuzzy Logic Systems
For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all;
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Soft Computing with NeuroFuzzy Systems
This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;
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Introduction to Fuzzy Systems
Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy;
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Fuzzy Expert Systems
Until recently, fuzzy logic was the intellectual plaything of a handful of researchers. Now it is being used to enhance the power;
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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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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number
An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential;
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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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Fuzzy Control Systems Design And Analysis
A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for 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 Control and Filter Design for Uncertain Fuzzy Systems
operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy ? controllers and robustH;
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Modeling And Simulation Of Systems Using Matlab And Simulink
, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final;
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Neoclassical Analysis
continuity, and fuzzy derivatives. For example, continuous functions, which are studied in the classical analysis, become a part of the set of the;
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Control and Filtering of Fuzzy Systems with Switched Parameters
research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust;
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Control and Filtering of Fuzzy Systems with Switched Parameters
research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust;
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Computational Intelligence
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications
FUZZY INTELLIGENT SYSTEMS A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence. The;
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Investment Decisions in Advanced Manufacturing Technology
making which incorporated the mathematics of fuzzy set theory. The rapid advancement of robotics, automated technologies and software such as CAD;
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Investment Decisions in Advanced Manufacturing Technology
making which incorporated the mathematics of fuzzy set theory. The rapid advancement of robotics, automated technologies and software such as CAD;
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