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Studies in Fuzziness and Soft Computing
Volume 312
Series Editors
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Polande-mail: [email protected]
For further volumes:
http://www.springer.com/series/2941
About this Series
The series “Studies in Fuzziness and Soft Computing” contains publications on vari-ous topics in the area of soft computing, which include fuzzy sets, rough sets, neuralnetworks, evolutionary computation, probabilistic and evidential reasoning, multi-valued logic, and related fields. The publications within “Studies in Fuzziness andSoft Computing” are primarily monographs and edited volumes. They cover signif-icant recent developments in the field, both of a foundational and applicable charac-ter. An important feature of the series is its short publication time and world-widedistribution. This permits a rapid and broad dissemination of research results.
Mo Jamshidi · Vladik KreinovichJanusz KacprzykEditors
Advance Trends inSoft Computing
Proceedings of WCSC 2013,December 16–18, San Antonio, Texas, USA
ABC
EditorsMo JamshidiThe University of TexasSan Antonio, TexasUSA
Vladik KreinovichDepartment of Computer ScienceUniversity of Texas at El PasoUSA
Janusz KacprzykPolish Academy of SciencesSystems Research InstituteWarsawPoland
ISSN 1434-9922 ISSN 1860-0808 (electronic)ISBN 978-3-319-03673-1 ISBN 978-3-319-03674-8 (eBook)DOI 10.1007/978-3-319-03674-8Springer Cham Heidelberg New York Dordrecht London
Library of Congress Control Number: 2013954671
c© Springer International Publishing Switzerland 2014This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part ofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,broadcasting, reproduction on microfilms or in any other physical way, and transmission or informationstorage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodologynow known or hereafter developed. Exempted from this legal reservation are brief excerpts in connectionwith reviews or scholarly analysis or material supplied specifically for the purpose of being enteredand executed on a computer system, for exclusive use by the purchaser of the work. Duplication ofthis publication or parts thereof is permitted only under the provisions of the Copyright Law of thePublisher’s location, in its current version, and permission for use must always be obtained from Springer.Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violationsare liable to prosecution under the respective Copyright Law.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoes not imply, even in the absence of a specific statement, that such names are exempt from the relevantprotective laws and regulations and therefore free for general use.While the advice and information in this book are believed to be true and accurate at the date of pub-lication, neither the authors nor the editors nor the publisher can accept any legal responsibility for anyerrors or omissions that may be made. The publisher makes no warranty, express or implied, with respectto the material contained herein.
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Dedication
Preface
This volume of Springer-Verlag series on Studies in Fuzziness and Soft Computing rep-resents the proceedings of World Conference on Soft Computing, held from December16–18, 2013 in San Antonio, Texas, USA. This conference was jointly dedicated to:
Professor Lotfi A. Zadeh, “Father of Fuzzy Logic” and creator of Soft ComputingMethodologies, and to Mrs. Fay Zadeh for her life-long sacrifices and dedications tothe causes of Lotfi Zadeh and his career.
We welcomed over 80 attendees from 18 nations (Australia, Azerbaijan, Belgium,Canada, Colombia, Finland, Hungary, India, Iran, Israel, Japan, Mexico, Poland, Rus-sia, Spain, Turkey, Ukraine, USA) who contributed to this conference.
Eight keynote speakers presented recent advances in soft computing and cloud com-puting, as follows:
1) Prof. Ron Yager, Iona College, USA under the title of “Intelligent AggregationMethods for Decision Making and Learning”.
2) Dr. Leila Meshkat, NASA/CALTECH JPL, USA under the title of “UncertaintyManagement for NASA Space Mission”.
3) Prof. Saeid Nahavandi, Deakin University, Australia under the title of “KnowledgeManagement in Future Factories”.
4) Prof. Jerry Mendel, USC, USA, under the title of “General Type-2 Fuzzy Sets andSystems: Where Are We Now and Where Are We Heading?”
5) Mr. Eli Karpilovski, Millanox Corp., USA, under the title of “High PerformanceCloud”.
6) Prof. Lotfi A. Zadeh, University of California at Berkeley, USA under the title of“Bayesianism versus Fuzzy Logic”.
7) Prof. Rafik Aiev, Oil Academy, Azerbaijan, under the title of “Combined States-Based Decision Theory with Z-restriction,”.
We wish to thank our co-editor Professor Janusz Kacprzyk of Polish Academyof Sciences, Springer-Verlag Series Editor of this volume for facilitating and recom-mending to print this volume. We wish to thank many members of the organizing andprogram committee who helped us with the conference. We specially thank
VIII Preface
Dr. Leontina Di Cecco of Springer-Verlag Publishers, Candice Contreras of the Elec-trical and Computer Engineering Department at the University of Texas at San Anto-nio (UTSA), as well as Ramin and Amin Sahba, Patrick Benavidez, Azima Motaghi,Maryam Ezell, Halid Kaplan and Yunus Yetis of ACE Laboratory, UTSA for helpingwith both the conference and the volume that will be published based on the Confer-ence.
We wish to thank all the authors for contributing to his volume.
October 15 2013 Mo JamshidiSan Antonio, TX, USA
Vladik KreinovichEl Paso, TX, USA
Janusz KacprzykWarsaw, Poland
Contents
Synthesis and Research of Neuro-Fuzzy Model of EcopyrogenesisMulti-circuit Circulatory System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1Yuriy P. Kondratenko, Oleksiy V. Kozlov, Leonid P. Klymenko,Galyna V. Kondratenko
Investigation of OWA Operator Weights for Estimating Fuzzy Validityof Geometric Shapes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Abdul Rahman, M.M. Sufyan Beg
Processing Quantities with Heavy-Tailed Distribution of MeasurementUncertainty: How to Estimate the Tails of the Results of Data Processing . . . 25Michal Holcapek, Vladik Kreinovich
A Logic for Qualified Syllogisms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Daniel G. Schwartz
Flexible Querying Using Criterion Trees: A Bipolar Approach . . . . . . . . . . . . 47Guy De Tre, Jozo Dujmovic, Joachim Nielandt, Antoon Bronselaer
Non-stationary Time Series Clustering with Application to ClimateSystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55Mohammad Gorji Sefidmazgi, Mohammad Sayemuzzaman,Abdollah Homaifar
A Generalized Fuzzy T-norm Formulation of Fuzzy Modularityfor Community Detection in Social Networks . . . . . . . . . . . . . . . . . . . . . . . . . . 65Jianhai Su, Timothy C. Havens
Soft Computing Models in Online Real Estate . . . . . . . . . . . . . . . . . . . . . . . . . 77Jozo Dujmovic, Guy De Tre, Navchetan Singh, Daniel Tomasevich,Ryoichi Yokoohji
X Contents
Constraints Preserving Genetic Algorithm for Learning Fuzzy Measureswith an Application to Ontology Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Mohammad Al Boni, Derek T. Anderson, Roger L. King
Topology Preservation in Fuzzy Self-Organizing Maps . . . . . . . . . . . . . . . . . . 105Mohammed Khalilia, Mihail Popescu
Designing Type-2 Fuzzy Controllers Using Lyapunov Approachfor Trajectory Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115Rosalio Farfan-Martinez, Jose A. Ruz-Hernandez, Jose L. Rullan-Lara,Willian Torres-Hernandez, Juan C. Flores-Morales
Decentralized Adaptive Fuzzy Control Applied to a Robot Manipulator . . . . 123Roberto Canto Canul, Ramon Garcia-Hernandez, Jose L. Rullan-Lara,Miguel A. Llama
Modeling, Planning, Decision-Making and Control in FuzzyEnvironment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137Ben Khayut, Lina Fabri, Maya Abukhana
Knowledge Integration for Uncertainty Management . . . . . . . . . . . . . . . . . . . 145Jane Booker, Timothy Ross, James Langenbrunner
Co-reference Resolution in Farsi Corpora . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155Maryam Nazaridoust, Behrouz Minaie Bidgoli, Siavash Nazaridoust
Real-Time Implementation of a Neural Inverse Optimal Controlfor a Linear Induction Motor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163Victor G. Lopez, Edgar N. Sanchez, Alma Y. Alanis
Preliminary Results on a New Fuzzy Cognitive Map Structure . . . . . . . . . . . . 171John T. Rickard, Janet Aisbett, Ronald R. Yager, Greg Gibbon
Time Series Image Data Analysis for Sport Skill . . . . . . . . . . . . . . . . . . . . . . . . 181Toshiyuki Maeda, Masanori Fujii, Isao Hayashi
Towards Incremental A-r-Star . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191Daniel Opoku, Abdollah Homaifar, Edward W. Tunstel
Comparative Analysis of Evaluation Algorithms for Decision-Makingin Transport Logistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203Yuriy P. Kondratenko, Leonid P. Klymenko, Ievgen V. Sidenko
Handling Big Data with Fuzzy Based Classification Approach . . . . . . . . . . . . 219Neha Bharill, Aruna Tiwari
OWA Based Model for Talent Selection in Cricket . . . . . . . . . . . . . . . . . . . . . . 229Gulfam Ahamad, Shane Kazim Naqvi, M.M. Sufyan Beg
Contents XI
Knowledge Representation in ISpace Based Man-MachineCommunication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241Annamaria R. Varkonyi-Koczy, Balazs Tusor, Imre J. Rudas
An α-Level OWA Implementation of Bounded Rationality for FuzzyRoute Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253Andrew R. Buck, James M. Keller, Mihail Popescu
Indices for Introspection on the Choquet Integral . . . . . . . . . . . . . . . . . . . . . . 261Stanton R. Price, Derek T. Anderson, Christian Wagner, Timothy C. Havens,James M. Keller
Artificial Neural Network Modeling of Slaughterhouse WastewaterRemoval of COD and TSS by Electrocoagulation . . . . . . . . . . . . . . . . . . . . . . . 273Dante A. Hernandez-Ramırez, Enrique J. Herrera-Lopez,Adrian Lopez Rivera, Jorge Del Real-Olvera
Memetic Algorithm for Solving the Task of Providing Group Anonymity . . . 281Oleg Chertov, Dan Tavrov
Takagi-Sugeno Approximation of a Mamdani Fuzzy System . . . . . . . . . . . . . . 293Barnabas Bede, Imre J. Rudas
Alpha-Rooting Image Enhancement Using a Traditional Algorithmand Genetic Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301Maryam Ezell, Azima Motaghi, Mo Jamshidi
Learning User’s Characteristics in Collaborative Filteringthrough Genetic Algorithms: Some New Results . . . . . . . . . . . . . . . . . . . . . . . . 309Oswaldo Velez-Langs, Angelica De Antonio
Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This CanHelp to Fuzzify Crisp Notions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong
How to Gauge Accuracy of Measurements and of Expert Estimates:Beyond Normal Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339Christian Servin, Aline Jaimes, Craig Tweedie, Aaron Velasco, Omar Ochoa,Vladik Kreinovich
Automatic Sintonization of SOM Neural Network Using EvolutionaryAlgorithms: An Application in the SHM Problem . . . . . . . . . . . . . . . . . . . . . . 347Rodolfo Villamizar, Jhonatan Camacho, Yudelman Carrillo, Leonardo Pirela
Density-Based Fuzzy Clustering as a First Step to Learning Rules:Challenges and Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357Gozde Ulutagay, Vladik Kreinovich
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Computing Covariance and Correlation in Optimally Privacy-ProtectedStatistical Databases: Feasible Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373Joshua Day, Ali Jalal-Kamali, Vladik Kreinovich
Feature Selection with Fuzzy Entropy to Find Similar Cases . . . . . . . . . . . . . 383Jozsef Mezei, Juan Antonio Morente-Molinera, Christer Carlsson
Computing Intensive Definition of Products . . . . . . . . . . . . . . . . . . . . . . . . . . . 391Laszlo Horvath, Imre J. Rudas
PSO Optimal Tracking Control for State-Dependent CoefficientNonlinear Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403Fernando Ornelas-Tellez, Mario Graff, Edgar N. Sanchez, Alma Y. Alanis
Delphi-Neural Approach to Clinical Decision Making: A PreliminaryStudy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411Ki-Young Song, Madan M. Gupta
Contextual Bipolar Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421Sławomir Zadrozny, Janusz Kacprzyk, Mateusz Dziedzic, Guy De Tre
Landing of a Quadcopter on a Mobile Base Using Fuzzy Logic . . . . . . . . . . . 429Patrick J. Benavidez, Josue Lambert, Aldo Jaimes, Mo Jamshidi
An Innovative Process for Qualitative Group Decision Making EmployingFuzzy-Neural Decision Analyzer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439Ki-Young Song, Gerald T.G. Seniuk, Madan M. Gupta
Preprocessing Method for Support Vector Machines Based on Centerof Mass . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451Saied Tadayon, Bijan Tadayon
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467