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    Fuzzy Logic - Emerging Technologies and Applications

    Fuzzy Logic - Emerging Technologies and Applications ed. by Elmer P. Dadios
    InT e O | 2012 | ISBN: 9535103370, 9789535103370 | 346 pages | PDF | 16 MB
    This book is a major reference source for all those concerned with applied intelligent systems. The intended readers are researchers, engineers, medical practitioners, and graduate students interested in fuzzy logic systems.

    The capability of Fuzzy Logic in the development of emerging technologies is introduced in this book. The book consists of sixteen chapters showing various applications in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment Systems. Contents Preface Part 1 Human Health and Security Chapter 1 A Clinical Application of Fuzzy Logic Chapter 2 A Fuzzy Logic Approach for Remote Healthcare Monitoring by Learning and Recognizing Human Activities of Daily Living Chapter 3 Application of Fuzzy Logic in Diet Therapy - Advantages of Application Chapter 4 Fuzzy Logic and Neuro-Fuzzy Networks for Environmental Hazard Assessment Chapter 5 Fuzzy Clustering Approach for Accident Black Spot Centers Determination Chapter 6 Adaptive Security Policy Using User Behavior Analysis and Human Elements of Information Security Part 2 Transportation and Communication Chapter 7 Fuzzy-Logic Analysis of the FDR Data of a Transport Aircraft in Atmospheric Turbulence Chapter 8 Adaptive Fuzzy Wavelet NN Control Strategy for Full Car Suspension System Chapter 9 Condition Ranking and Rating of Bridges Using Fuzzy Logic Chapter 10 Fuzzy Logic for Multi-Hop Broadcast in Vehicular Ad Hoc Networks Chapter 11 Fuzzy Logic Applied to Decision Making in Wireless Sensor Networks Chapter 12 Fuzzy Logic on a Polygenic Multi-Agent System for Steganalysis of Digital Images Part 3 Business, Environment and Energy Chapter 13 Fuzzy Logic in Financial Management Chapter 14 Fuzzy Modeling of Geospatial Patterns Chapter 15 Greenhouse Fuzzy and Neuro-Fuzzy Modeling Techniques Chapter 16 Generation Reliability Evaluation in Deregulated Power Systems Using Monte Carlo Simulation and Fuzzy Systems

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