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  • Studies in Fuzziness and Soft Computing

    QuanminZhuAhmadTaherAzar Editors

    Complex System Modelling and Control Through Intelligent Soft Computations

  • Studies in Fuzziness and Soft Computing

    Volume 319

    Series editor

    Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Polande-mail: kacprzyk@ibspan.waw.pl

  • About this Series

    The series Studies in Fuzziness and Soft Computing contains publications onvarious topics in the area of soft computing, which include fuzzy sets, rough sets,neural networks, evolutionary computation, probabilistic and evidential reasoning,multi-valued logic, and related fields. The publications within Studies in Fuzzinessand Soft Computing are primarily monographs and edited volumes. They coversignificant recent developments in the field, both of a foundational and applicablecharacter. An important feature of the series is its short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

    More information about this series at http://www.springer.com/series/2941

    http://www.springer.com/series/2941

  • Quanmin Zhu Ahmad Taher AzarEditors

    Complex System Modellingand Control ThroughIntelligent SoftComputations

    123

  • EditorsQuanmin ZhuDepartment of Engineering Designand Mathematics

    University of the West of EnglandBristolUK

    Ahmad Taher AzarFaculty of Computers and InformationBenha UniversityBenhaEgypt

    ISSN 1434-9922 ISSN 1860-0808 (electronic)Studies in Fuzziness and Soft ComputingISBN 978-3-319-12882-5 ISBN 978-3-319-12883-2 (eBook)DOI 10.1007/978-3-319-12883-2

    Library of Congress Control Number: 2014957496

    Springer Cham Heidelberg New York Dordrecht London Springer International Publishing Switzerland 2015This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or partof the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionor information storage and retrieval, electronic adaptation, computer software, or by similar ordissimilar methodology now known or hereafter developed.The use of general descriptive names, registered names, trademarks, service marks, etc. in thispublication does not imply, even in the absence of a specific statement, that such names are exemptfrom the relevant protective laws and regulations and therefore free for general use.The publisher, the authors and the editors are safe to assume that the advice and information in thisbook are believed to be true and accurate at the date of publication. Neither the publisher nor theauthors or the editors give a warranty, express or implied, with respect to the material containedherein or for any errors or omissions that may have been made.

    Printed on acid-free paper

    Springer International Publishing AG Switzerland is part of Springer Science+Business Media(www.springer.com)

  • Preface

    Soft computing-based inductive approaches are concerned with the use of theoriesof fuzzy logic, neural networks and evolutionary computing to solve real-worldproblems that cannot be satisfactorily solved using conventional crisp computingtechniques. Representation and processing of human knowledge, qualitative andapproximate reasoning, computational intelligence, computing with words, andbiological models of problem solving and optimization form key characteristics ofsoft computing, and are directly related to intelligent systems and applications. Inrecent years there has been rapid growth in the development and implementation ofsoft computing techniques in a wide range of applications, particularly those relatedto natural and man-made science and engineering systems.

    This book is intended to present important applications of soft computing asreported from both analytical and practical points of view. The material is organizedinto 29 chapters. In its chapters, the book gives a prime introduction to soft computingwith its principal components of fuzzy logic, neural networks, genetic algorithms andgenetic programming with a self-contained, simple, readable approach. The bookalso includes a few of representative papers to cover industrial and development effortin the applications of intelligent systems through soft computing, which is given toguide the interested readers on their ad hoc applications. Advanced topics and futurechallenges are addressed as well, with the researchers in the field in mind. Theintroductory material, application-oriented techniques, and case studies should beparticularly useful to practicing professionals. In brief summary, this book provides ageneral foundation for soft computing-based inductive methodologies/algorithms aswell as their applications, in terms of providing multidisciplinary solutions in com-plex system modelling and control.

    As the editors, we hope that the chapters in this book will stimulate furtherresearch in Complex system modelling and utilize them in real-world applications.We hope that this book, covering so many different aspects, will be of value to allreaders.

    The editors would like to take this opportunity to thank all the authors for theircontributions to this textbook. Without the hard work of our contributors, this bookwould not have been possible. The encouragement and patience of Series Editor,

    v

  • Prof. Janusz Kacprzyk and Dr. Leontina Di Cecco is very much appreciated.Without their continuous help and assistance during the entire course of this project,the production of the book would have taken a great deal longer. Special thanks toHolger Schaepe for her great effort during the publication process.

    Bristol, UK Quanmin ZhuBenha, Egypt Ahmad Taher Azar

    vi Preface

  • Contents

    Design and Modeling of Anti Wind Up PID Controllers . . . . . . . . . . . 1Ahmad Taher Azar and Fernando E. Serrano

    A Hybrid Global Optimization Algorithm: Particle SwarmOptimization in Association with a Genetic Algorithm. . . . . . . . . . . . . 45M. Andalib Sahnehsaraei, M.J. Mahmoodabadi, M. Taherkhorsandi,K.K. Castillo-Villar and S.M. Mortazavi Yazdi

    Fuzzy Adaptive Controller for a DFI-Motor . . . . . . . . . . . . . . . . . . . . 87Namane Bounar, Abdesselem Boulkroune and Fares Boudjema

    Expert-Based Method of Integrated Waste Management Systemsfor Developing Fuzzy Cognitive Map . . . . . . . . . . . . . . . . . . . . . . . . . 111Adrienn Buruzs, Mikls F. Hatwgner and Lszl T. Kczy

    Leukocyte Detection Through an Evolutionary Method . . . . . . . . . . . . 139Erik Cuevas, Margarita Daz and Ral Rojas

    PWARX Model Identification Based on Clustering Approach . . . . . . . 165Zeineb Lassoued and Kamel Abderrahim

    Supplier Quality Evaluation Using a Fuzzy Multi CriteriaDecision Making Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195Anjali Awasthi

    Concept Trees: Building Dynamic Concepts from Semi-structuredData Using Nature-Inspired Methods . . . . . . . . . . . . . . . . . . . . . . . . . 221Kieran Greer

    vii

    http://dx.doi.org/10.1007/978-3-319-12883-2_1http://dx.doi.org/10.1007/978-3-319-12883-2_2http://dx.doi.org/10.1007/978-3-319-12883-2_2http://dx.doi.org/10.1007/978-3-319-12883-2_3http://dx.doi.org/10.1007/978-3-319-12883-2_4http://dx.doi.org/10.1007/978-3-319-12883-2_4http://dx.doi.org/10.1007/978-3-319-12883-2_5http://dx.doi.org/10.1007/978-3-319-12883-2_6http://dx.doi.org/10.1007/978-3-319-12883-2_7http://dx.doi.org/10.1007/978-3-319-12883-2_7http://dx.doi.org/10.1007/978-3-319-12883-2_8http://dx.doi.org/10.1007/978-3-319-12883-2_8

  • Swarm Intelligence Techniques and Their Adaptive Naturewith Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253Anupam Biswas and Bhaskar Biswas

    Signal Based Fault Detection and Diagnosis for RotatingElectrical Machines: Issues and Solutions . . . . . . . . . . . . . . . . . . . . . . 275Andrea Giantomassi, Francesco Ferracuti, Sabrina Iarlori,Gianluca Ippoliti and Sauro Longhi

    Modelling of Intrusion Detection System Using ArtificialIntelligenceEvaluation of Performance Measures . . . . . . . . . . . . . . . 311Manojit Chattopadhyay

    Enhanced Power System Security Assessment ThroughIntelligent Decision Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337Venkat Krishnan

    Classification of Normal and Epileptic Seizure EEG SignalsBased on Empirical Mode Decomposition . . . . . . . . . . . . . . . . . . . . . . 367Ram Bilas Pachori, Rajeev Sharma and Shivnarayan Patidar

    A Rough Set Based Total Quality Management Approachin Higher Education . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389Ahmad Taher Azar, Renu Vashist and Ashutosh Vashishtha

    Iterative Dual Rational Krylov and Iterative SVD-Dual RationalKrylov Model Reduction for Switched Linear Systems . . . . . . . . . . . . 407Kouki Mohamed, Abbes Mehdi and Abdelkader Mami

    Household Electrical Consumptions Modeling and ManagementThrough Neural Networks and Fuzzy Logic Approaches . . . . . . . . . . . 437Lucio Ciabattoni, Massimo Grisostomi, Gianluca Ippolitiand Sauro Longhi

    Modeling, Identification and Control of Irrigation Stationwith Sprinkling: Takagi-Sugeno Approach . . . . . . . . . . . . . . . . . . . . . 469Wael Chakchouk, Abderrahmen Zaafouri and Anis Sallami

    Review and Improvement of Several Optimal IntelligentPitch Controllers and Estimator of WECS via ArtificialIntelligent Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501Hadi Kasiri, Hamid Reza Momeni and Mohammad Saniee Abadeh

    viii Contents

    http://dx.doi.org/10.1007/978-3-319-12883-2_9http://dx.doi.org/10.1007/9

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