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Fuzzy Expert Systems

. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it;

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Fuzzy Control Systems

controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part;

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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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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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Artificial Intelligence and Expert Systems

engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems;

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Fuzzy Expert Systems And Fuzzy Reasoning

Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well;

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Fuzzy Approach to Reasoning and Decision-Making

background of fuzzy logic and with applications of fuzzy reasoning to the problems of artificial intelligence, robotics and expert systems. Second;

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Advances in Fuzzy Implication Functions

logic systems, fuzzy control, approximate reasoning and expert systems, but they also play a significant role in mathematical fuzzy logic;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Fuzzy Expert System Tools

Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on;

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An Essential Guide to Fuzzy Systems

and vague situations. As a result a series of extensions and generalizations of the ordinary fuzzy set followed and several theories have been;

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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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Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy;

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Fuzzy Sets, Fuzzy Logic, Applications

Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature;

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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;

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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;

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Mathematical Principles of Fuzzy Logic

, providing an explanation of what can be represented, and how, by formulas of fuzzy logic calculi. It also presents a more general interpretation;

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Reasoning About Fuzzy Temporal And Spatial Information From The Web

This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporal/spatial;

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Similarity and Compatibility in Fuzzy Set Theory

unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these;

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Fuzzy Logic

systems. This book presents a few examples of fuzzy logic applications in electrical, chemical, computer and textile engineering with a simple and;

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Deep Neuro-Fuzzy Systems with Python

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current;

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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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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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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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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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