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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 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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Fuzzy Expert Systems And Fuzzy Reasoning

established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion;

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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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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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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems

postgraduate and undergraduate students studying applications of decision-making tools and expert systems.;

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Fuzzy Logic and Hydrological Modeling

incorporates verbal expert views and other parameters that allow him to eschew the use of mathematics. The book's first seven chapters expose the fuzzy;

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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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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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Optimal Maintenance of Large Engineering System: Practical Strategies for Effective Decision Making

decision as a multi-objective optimization problem using genetic algorithms and use for fuzzy logic for handling uncertainty and expert opinion or;

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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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Formulation Tools for Pharmaceutical Development

optimize drug formulations; ME_expert 2.0: a heuristic decision support system for microemulsions formulation development; Expert system for the;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural;

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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 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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Reliability Theory Based on Uncertain Lifetimes

, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an;

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Fuzzy Modelling and Classification Applied

systems or distributed knowledge systems, should lead us to promote the research of new base tools which allow us to apply the fuzzy logic. Fault;

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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

problems, is the use of fuzzy logic control. This book will discuss the Magnetic Levitation (Maglev) models as an example of nonlinear systems. It;

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An Essential Guide to Fuzzy Systems

covering physical sciences, economics and management, expert systems like financial planners, diagnostic, meteorological, information-retrieval;

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Design and Real-time Implementation of a Fuzzy Vacuum Cleaner System

This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to;

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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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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria;

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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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Policy Decision Modeling with Fuzzy Logic

Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence;

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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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14th International Conference on Theory and Application of Fuzzy Systems and Sof

This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial;

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