FUZZY INFERENCE SYSTEM – THEORY AND APPLICATIONS doc

FUZZY INFERENCE SYSTEM – THEORY AND APPLICATIONS Edited by Mohammad Fazle Azeem Fuzzy Inference System – Theory and Applications Edited by Mohammad Fazle Azeem Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Bojan Rafaj Technical Editor Teodora Smiljanic Cover Designer InTech Design Team First published April, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechopen.com Fuzzy Inference System – Theory and Applications, Edited by Mohammad Fazle Azeem p. cm. ISBN 978-953-51-0525-1 Contents Preface IX Section 1 Theory 1 Chapter 1 Fuzzy Logic, Knowledge and Natural Language 3 Gaetano Licata Section 2 Application to Management Problems 19 Chapter 2 Applications of Fuzzy Logic in Risk Assessment – The RA_X Case 21 Isabel L. Nunes and Mário Simões-Marques Chapter 3 A Fuzzy Approach for Risk Analysis with Application in Project Management 41 Sina Khanmohammadi and Javad Jassbi Chapter 4 A Concise Fuzzy Rule Base to Reason Student Performance Based on Rough-Fuzzy Approach 63 Norazah Yusof, Nor Bahiah Ahmad, Mohd. Shahizan Othman and Yeap Chun Nyen Section 3 Application to Mechanical and Industrial Engineering Problems 83 Chapter 5 Control of Efficient Intelligent Robotic Gripper Using Fuzzy Inference System 85 A.M. Zaki, O.A. Mahgoub, A.M. El-Shafei and A.M. Soliman Chapter 6 Fuzzy Logic Controller for Mechatronics and Automation 113 Muhammad Mahbubur Rashid and Mohamed Azlan Hussain Chapter 7 Fuzzy Inference Systems Applied to the Analysis of Vibrations in Electrical Machines 135 Fredy Sanz, Juan Ramírez and Rosa Correa VI Contents Chapter 8 The Hybrid Intelligent Method Based on Fuzzy Inference System and Its Application to Fault Diagnosis 153 Yaguo Lei Chapter 9 Some Studies on Noise and Its Effects on Industrial/Cognitive Task Performance and Modeling 171 Ahmed Hameed Kaleel and Zulquernain Mallick Chapter 10 Fuzzy Inference System for Data Processing in Industrial Applications 215 Silvia Cateni and Valentina Colla Section 4 Application to Image Processing and Cognition Problems 241 Chapter 11 Fuzzy Inference Systems Applied to Image Classification in the Industrial Field 243 Silvia Cateni, Valentina Colla, Marco Vannucci and Alice Borselli Chapter 12 Edge Detection Based on Fuzzy Logic and Expert System 271 Shuliang Sun, Chenglian Liu, Sisheng Chen Chapter 13 Type-2 Fuzzy Logic for Edge Detection of Gray Scale Images 279 Abdullah Gubbi and Mohammad Fazle Azeem Chapter 14 Neuro-Fuzzy Prediction for Brain-Computer Interface Applications 299 Wei-Yen Hsu Section 5 Application to Power System Engineering Problems 313 Chapter 15 Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS) 315 Rasli, Hussain and Fauzi Chapter 16 A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting by Using Previous Day Features 337 Zohreh Souzanchi Kashani Chapter 17 Fuzzy Inference System in Energy Demand Prediction 355 Thair Mahmoud, Daryoush Habibi, Octavian Bass and Stefan Lachowics Section 6 Application to System Modeling and Control Problems 377 Chapter 18 Control Application Using Fuzzy Logic: Design of a Fuzzy Temperature Controller 379 R.M. Aguilar, V. Muñoz and Y. Callero Contents VII Chapter 19 An Evolutionary Fuzzy Hybrid System for Educational Purposes 397 Ahmed Ali Abadalla Esmin, Marcos Alberto de Carvalho, Carlos Henrique Valério de Moraes and Germano Lambert-Torres Chapter 20 System Identification Using Fuzzy Cerebellar Model Articulation Controllers 421 Cheng-Jian Lin and Chun-Cheng Peng Section 7 Application to Civil Engineering Problems 443 Chapter 21 Fuzzy Inference System as a Tool for Management of Concrete Bridges 445 Amir Tarighat Chapter 22 Neural Network and Adaptive Neuro-Fuzzy Inference System Applied to Civil Engineering Problems 471 Mohammed A. Mashrei . FUZZY INFERENCE SYSTEM – THEORY AND APPLICATIONS Edited by Mohammad Fazle Azeem Fuzzy Inference System – Theory and Applications Edited by. Fuzzy Inference System – Theory and Applications, Edited by Mohammad Fazle Azeem p. cm. ISBN 978-953-51-0525-1 Contents Preface IX Section 1 Theory 1 Chapter 1 Fuzzy. Fuzzy Inference System – Theory and Applications 4 aspect of NL. Natural Language/Thinking has a lot of aspects that a logical calculus cannot have. Being the source of Fuzzy Logic – and of