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Multiple Fuzzy Classification Systems

and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set;

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Genetic Algorithms, Fuzzy Systems & Website Classification

This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics;

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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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Pattern Classification

This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.;

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Fuzzy Modelling and Classification Applied

systems. These innovative technologies combined with the potential of the Fuzzy Modelling and Classification techniques, actually used along the;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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Fuzzy Logic in Chemistry

hierarchical classification methods. Fuzzy Logic in Chemistry will appeal to both students and professionals who are seeking to learn more about theory;

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Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making;

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Fundamentals of Computational Intelligence

, and recurrent neural networks * Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, 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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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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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are;

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Congress on Intelligent Systems

classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles;

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Congress on Intelligent Systems

classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles;

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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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Water Resources Systems

evolution techniques, fuzzy sets and fuzzy logic and artificial neural networks is described. Brief description of available relevant computer;

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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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Fuzzy Clustering Via Proportional Membership Model

), modelling a typological classification. In fuzzy clustering, the fuzzy c-means (FCM) method has become one of the most popular techniques. As a;

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Intelligent and Complex Systems in Economics and Business

. The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between;

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