Book Description:
Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. Just as in fuzzy set theory the set membership values can range (inclusively) between 0 and 1, in fuzzy logic the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values {true, false} as in classic predicate logic. And when linguistic variables are used, these degrees may be managed by specific functions, as discussed below.

Some Current areas of application include:
Automobile and other vehicle subsystems, such as automatic transmissions, ABS and cruise control (e.g. Tokyo monorail)
Air conditioners
The Massive engine used in the Lord of the Rings films, which helped huge scale armies create random, yet orderly movements
Cameras
Digital image processing, such as edge detection
Rice cookers
Dishwashers
Elevators
Washing machines and other home appliances
Video game artificial intelligence
Language filters on message boards and chat rooms for filtering out offensive text
Pattern recognition in Remote Sensing

This book brings together the latest research in the field.

Table of Contents:
Preface

Expert Commentary

Fuzzy Logic in Molecular Computing, pp. 3-12
(Pier Luigi Gentili, Dipartimento di Chimica, Univ. di Perugia, Perugia, Italy)

Short Communications

The Application of Fuzzy Logic Principles to Developmental Psychology, pp. 15-22
(Marijn van Dijk, Paul van Geert, Open University of the Netherlands, The Netherlands)

Fuzzy Logic, Vagueness and Uncertainty, pp. 23-30
(Gaetano Licata, Dipartimento Fieri di Filsofia, Univ. di Palermo, Palermo)

Research and Review Studies

Chapter 1. Fuzzy Decision Support System and its Applications in Supply Chain Management, pp. 33-84
(Ying Xie, Business School, Univ. of Greenwich, Maritime Campus, London, UK)

Chapter 2. Application of Fuzzy Logic for Automated Interpretation of Mass Spectra, pp. 85-114
(Timothy R. McJunkin, Industrial Technology, Jill R. Scott, Chemical Sciences, Idaho National Laboratory, Idaho Falls, ID)

Chapter 3. Fuzzy Indices of Ecological Conditions: Review of Techniques and Applications, pp. 115-172
(Agnese Marchini, Dipartimento di Ecologia del Territorio, Univ. di Pavia, Italy)

Chapter 4. A Method for Fuzzy Logic Optimization and Its Application in Placement of Biomass Power Plants, pp. 173-206
(P. Reche-Lopez, N. Ruiz-Reyes, S. Garcia-Galan, Univ. of Jaen, Dept. of Telecommunication Engineering, EPS Linares, Jaen, Spain, Francisco Jurado, Univ. of Jaen, Dept. of Electrical Engineering, EPS Linares (Jaen), Spain)

Chapter 5. Managing Energy Data Using Fuzzy-Sets in Decision Making, pp. 207-228
(Fausto Cavallaro, Dept. S.E.G.e S - Technological Section, Univ. of Molise, Via De Sanctis, Campobasso, Italy)

Chapter 6. Fuzzy Inference System for the Hydrological Expectation's Modeling in Colombian Electricity Market, pp. 229-246
(Santiago Medina, Julian Moreno, Univ. Nacional de Colombia, Medellin)

Chapter 7. Fuzzy Logic Applied in Multidimensional Model of Postoperative Pain Derived from Patient-Controlled Analgesia, pp. 247-268
(Jiann-Shing Shieh, Dept. of Mechanical Engineering, Yuan Ze Univ., Taiwan, Chung-Yi Dai, Dept. of Anesthesiology, College of Medicine, National Taiwan Univ., Taipei, Taiwan, Yeong-Ray Wen, Dept. of Anesthesiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan, Tzu-Yu Lin, Dept. of Anesthesiology, Far Eastern Memorial Hospital, Taiwan, Jen-Yin Chen, Dept. of Anesthesiology, Chi-Mei Medical Center, Tainan, Taiwan, et al.)

Chapter 8. Decentralized Design of A Fuzzy Multi-Objective Power System Stabilizer via Linear Matrix Inequalities, pp. 269-320
(M. Soliman, Electrical Power and Machines Dept., Benha Univ., Shubra, Egypt, A.-L. Elshafei, Electrical Power and Machines Dept., Cairo Univ., Giza, Egypt, F. Bendary, Electrical Power and Machines Dept., Benha Univ., Shubra, Egypt, W. Mansour, Electrical Power and Machines Dept., Benha Univ., Shubra, Egypt)

Chapter 9. Closed-loop Optimal Fuzzy Reasoning and Its Robustness Analysis, pp. 321-338
(Zhang Lei, School of Electrical Engineering and Automation, Hebei Univ. of Technology, China, Zhang Kun, School of Information Engineering, Hebei Univ. of Technology, China)

Chapter 10. Applying Fuzzy Logic in Dynamic Buffer Tuning to Enhance the Success of Pervasive Medical Consultations, pp. 339-354
(Wilfred W.K. Lin, Jackei H.K. Wong, ChenYe Zhu, Allan K.Y. Wong, Dept. of Computing, Hong Kong Polytechnic Univ. Hong Kong SAR, Tharam S. Dillon, Digital Ecosystems and Business Intelligence Institute, Curtin Univ. of Technology, Perth, Western Australia)

Chapter 11. Fuzzy Logic in Evaluating the Impacts of MVAR Supports on ATC in a Deregulated Electricity Market, pp. 355-378
(S. Shahnawaz Ahmed, Azhar B. Khairuddin, Dept. of Electrical and Electronic Engineering, Bangladesh Univ. of Engineering and Technology (BUET), Dhaka, Bangladesh, Faculty of Electrical Engineering, Univ. Teknologi Malaysia, Johor, Malaysia)

Chapter 12. FL Application to Param. Extraction FET (Fuzzy Logic Applications to Parameter Extraction of FET Compact Models), pp. 379-404
(R. Picos and E. Garcia-Moreno, Grup de Tecnologia Electronica, Univ. Illes Balears, Spain; Benjamin Iniguez, Universitat Rovira i Virgili, Tarragona, Spain)

Chapter 13. Fuzzy Logic Data Mining Based on Mass Assignment Theory, pp. 405-432
(Dong Xie, School of Engineering Advanced Technology, Massey Univ., North Shore Main Centre, Auckland, New Zealand, Jim F. Baldwin, Dept. of Engineering Mathematics, Faculty of Engineering, Univ. of Bristol, Bristol, UK)

Index