Studies in Fuzziness and Soft Computing

Volume 312

Series Editors

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

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

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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

XII Contents

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