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Fuzzy Logic - Emerging Technologies and Applications ed. by Elmer P. Dadios

"Fuzzy Logic - Emerging Technologies and Applications" ed. by Elmer P. Dadios
InTeO | 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.

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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