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Uncertain Rule-Based Fuzzy Logic Systems

kinds of uncertainties can be handled within the framework of a common theory and set of design tools-fuzzy logic systems-by moving the original;

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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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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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Uncertain Rule-Based Fuzzy Systems

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.e., type-2;

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

Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic;

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

Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

fuzzy ?lters for a class of uncertain fuzzy systems ? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly;

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Fuzzy Control Systems

examines fuzzy logic based encoder-less speed controls of permanent-magnet synchronous motors (PMSM) for hub motor drives. Chapter Four presents;

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

include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;

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Fuzzy Control Systems

Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a;

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Multi-Sensor Data Fusion With MATLAB

sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It;

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

This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes;

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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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Knowledge-Based Neurocomputing

that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that;

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Mathematical Principles of Fuzzy Logic

Mathematical Principles of Fuzzy Logic provides a systematic study of the formal theory of fuzzy logic. The book is based on logical;

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Introduction to Fuzzy Systems

. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and those in education and research;

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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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A First Course In Fuzzy Logic

A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic;

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Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System

analysing their impact on the performance of multi-core architectures. Proposing a power and throughput-aware fuzzy-logic-based reconfiguration for;

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Artificial Intelligence for Smarter Power Systems

inference, fuzzy logic-based control, feedback and feedforward neural networks, competitive and associate neural networks, and applications of fuzzy;

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Fuzzy Logic

. In addition, fuzzy logic provides an inference structure that enables the human reasoning capabilities to be applied to artificial knowledge-based;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

based on type-1 and type-2 fuzzy logic and their applications. There are also some papers that present theory and practice of meta-heuristics;

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

and literature references based on fuzzy logic. Nowadays, the evolution of intelligence systems for decision making has been reached;

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Einde inhoud

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