Showing posts with label FUZZ-IEEE 2016. Show all posts
Showing posts with label FUZZ-IEEE 2016. Show all posts

Sunday, 13 December 2015

Call for Papers WCCI 2016 Special Session "Information Fusion and Fuzzy Linguistic Decision Making"

Organizers:

Luis Martínez, Rosa M Rodríguez and Francisco Herrera

Brief Description:

Decision Making is an inherent mankind task related to intelligent and complex activities in which human beings face situations where they must choose among different alternatives by means of reasoning and mental processes. Such decision situations usually involve different types of uncertainty according to their nature. The fusion of information can reduce uncertainty and facilitate the decision making process because it associates, correlates and combines information from multiple sources to provide a relevant and timely view of the situation.

Therefore, information fusion in decision making has been widely studied from different points of view according to the framework in which it should be developed. However, there are still different open challenging problems related to information fusion and decision making because of the necessity of dealing with either novel decision making problems with new types of uncertainty and their modelling or with the advances in information fusion that imply improvements regarding previous approaches.

Additionally, many real decision situations are defined under uncertain contexts with imprecise information, in which it is straightforward the use of linguistic information. Fuzzy linguistic approach based models and Computing with Words (CW) provides the tools and methodology to deal with words. CW emulates human cognitive processes to improve decision solving processes under uncertainty. Consequently, information fusion processes, fuzzy linguistic approach and CW have been applied as modelling and computational basis for linguistic decision making, because it provides tools close to human beings reasoning processes related to decision making, which improve and facilitate the resolution of decision making under uncertainty as linguistic decision making.

All Information Fusion, Decision Making, Fuzzy Linguistic Approach and Computing with Words have recently attracted much attention in which, novel mathematical foundations and new decision models raised to be applied in different decision fields such as multi-criteria decision making, decision analysis, evaluation processes, consensus reaching processes, etc.

Objectives and topics:

This invited session aims at providing an opportunity for researchers working in both research areas to discuss and to share their new ideas, original research results and practical experiences. More specifically, we expect you to have any contribution with the focus on the use of linguistic modelling in decision making. The topics of this special session are as follows:
  • Fusion Methods for Linguistic Decision making
  • Linguistic expression domains to represent preferences
  • Linguistic hesitant for modeling preference
  • Multi-criteria and group decision making
  • Selection and consensus models with linguistic information
  • Combining Heterogeneous Information in Decision Making
  • Multi-Level Fusion for Decision Making
  • Large Scale Decision Making
  • Fusing Linguistic Information in Decision Making
  • Intelligent Decision Support Systems
  • Dynamic Decision Making
  • Context-Based Information Fusion
  • Fusion in Networked Systems
  • Linguistic decision making in Engineering evaluation, resource management and transfer, Industry applications, sensory evaluation, evaluation and recommendation, Investments applications and risk assessment, …

Important Dates:

Submission Deadline: 15th January 2016
Notification Acceptance: 15th March 2016
Final paper submission deadline: 15th April 2016

Paper Submission

Procedure for paper formatting should be followed as specified on the WCCI’2016 website (http://www.wcci2016.org/).

Submitted papers for this Special Session should be uploaded from the website provided for uploading (http://ieee-cis.org/conferences/fuzzieee2016/upload.php) and choose in Main Research Topic the choice SS33 Information Fusion and Fuzzy Linguistic Decision Making.

Contact information:

Luis Martínez
Email address: luis.martinez@ujaen.es

Rosa M. Rodríguez
Email address: rosam.rodriguez@decsai.ugr.es

Francisco Herrera
Email address: herrera@decsai.ugr.es

Friday, 4 December 2015

FUZZ-IEEE 2016 Plenary Speakers

IEEE WCCI 2016 is pleased to announce the following FUZZ-IEEE Plenary Speakers:

  1. James C. Bezdek, IEEE Fellow, 2001 IEEE CIS Fuzzy Systems Pioneer Awardee
  2. Nikhil R. Pal, IEEE Fellow, 2015 IEEE CIS Fuzzy Systems Pioneer Awardee
  3. Frederick E. Petry, IEEE Fellow, 2016 IEEE CIS Fuzzy Systems Pioneer Awardee
  4. Jie Lu, Editor-in-Chief for Knowledge-Based Systems (Elsevier)
  5. Witold Pedrycz, IEEE Fellow, 2013 IEEE CIS Fuzzy Systems Pioneer Awardee

More Plenaries will be announced soon. Visit goo.gl/Rzuazg for more information.

Monday, 30 November 2015

Call for Papers WCCI 2016 Special Session "Intelligent Medical Science"

The purpose of this special session is to disseminate and discuss recent and significant research issues on how intelligent methodologies can be used to solve challenging problems related to medical, biomedical, and healthcare fields. This special session will be held under IEEE CIS Task Force of "Fuzzy Logic in Medical Sciences".

Topics of interest

  • Fuzzy logic-based medical diagnosis control system
  • Fuzzy logic-based biomedical applications
  • Soft computing for biomedical applications
  • Fuzzy logic-based affective computing and psychological evaluations
  • Fuzzy data analysis – bioinformatics, medical informatics, pattern recognition
  • Fuzzy optimization and control
  • Fuzzy machine learning approach to biomedical applications
  • Neuro-fuzzy models for biomedical signal processing
  • Signal processing of MRI, fMRI, EEG, ECG, etc.
  • Smart diagnostic predictions of various diseases
  • Applications in image processing and pattern recognition
  • Fuzzy logic vs. other soft computing approaches
  • Approaches based on neuro-fuzzy, evolutionary neuro-fuzzy, neuro-genetic, genetic fuzzy, fuzzy cognitive map
  • Fuzzy inference systems
  • Assistive robotics
  • Fuzzy temporal representation of knowledge

Paper submission

All papers must be submitted through the IEEE WCCI FUZZ 2016 online submission system. There, please make sure to select the appropriate special session title (FUZZ-IEEE-20 Intelligent Medical Science) under the list of research topics in the submission system. More detailed submission instructions and paper templates can be found on the WCCI submission page.

Important dates

Paper submission deadline:   January 15, 2016
Paper decision notification:   March 15, 2016
Final paper submission and registration deadline:   April 15, 2016
WCCI 2016:   July 25-29, 2016

Organisers

Syoji Kobashi
University of Hyogo
Japan
kobashi@eng.u-hyogo.ac.jp

Gerald Schaefer
Loughborough University
United Kingdom
gerald.schaefer@ieee.org

Hiroharu Kawanaka
Mie University
Japan
kawanaka@elec.mie-u.ac.jp

Atsushi Inoue
Eastern Washington University
USA
inoueatsushij@gmail.com

Thursday, 26 November 2015

Call for Papers WCCI 2016 Special Session on Linguistic Summarization and Description of Data

Organized by Nicolas Marin, Daniel Sanchez, Anna Wilbik, and Rui Jorge Almeida
http://decsai.ugr.es/pi/lidvis/cfpfuzzieee2016.html

Linguistic summaries and descriptions of data aim to extract and represent knowledge in the form of a collection of natural language sentences. The objective is to obtain a text, as if it was produced by a human expert, describing the most relevant aspects of data for a certain user in a specific context. Automatic generations of data summaries have gained increased relevance with the advent of possibilities to store and acquire data as well as relations between them. In this realm, not only specialized users (e.g. in decision support systems) are interested in this type of approach, but nonspecialized users also show interest in receiving understandable information that is supported by data.

Linguistic summaries commonly use fuzzy set theory to model linguistic variables and incorporate different forms of imprecision in a collection of natural language sentences. In many approaches they can be considered as quantifier based sentences, hence linguistic summaries constitute a perfect application for new developments in the domain of fuzzy quantifiers. Furthermore, linguistic summaries have been related to fuzzy rule systems. Linguistic summaries and description of data is related to other research areas such as knowledge discovery in databases and intelligent data analysis, flexible query answering systems for data, human-machine interaction, uncertainty management, heuristics and metaheuristics, natural language generation or processing. More recently, this field has been related to different paradigms, namely the linguistic description of complex phenomena and computing with words paradigms.

The objective of this special session is to provide a forum for researchers, from the above indicated areas, to present recent developments in linguistic summarizes and description of data as well as discuss how these different approaches can complement each other for the task of building such systems.

The session continues the series of special sessions on the topic organized by some of the organizers of this session in past conferences (IFSA 2015, FUZZ-IEEE 2015).

Topics of interest include, but are not restricted to:
  • Protoforms and fuzzy concepts for the linguistic summaries and fuzzy description.
  • Quality assessment of linguistic summaries and fuzzy description.
  • Techniques and algorithms for generating linguistic summaries and descriptions of data.
  • Ontologies for data summarization.
  • Logical approaches for modeling linguistic expressions.
  • Modeling uncertainty for linguistic summaries and fuzzy description.
  • User preference/interest modeling for linguistic summaries and fuzzy description.
  • Applications of linguistic summaries and fuzzy description.
  • Natural language generation for data summarization.
  • Machine Learning applied to data summarization.
  • Linguistic information extraction from visual information
  • Context-awareness in data summarization and description, and natural languageb generation.

Important dates:

Paper submission: January 15th, 2016
Notification of acceptance: March 15th, 2016
Final paper submission: April 15th, 2016
Early registration deadline: April 15th, 2016
Conference: July 25-29, 2016
Instructions for authors, submission and more details in the Conference website: http://www.wcci2016.org/

Accepted papers to this special session (if presented at the Conference) will be published in the conference proceedings of FUZZ-IEEE published by the IEEE.

Organizers:

Nicolas Marin. Department of Computer Science and Artificial Intelligence, University of Granada
e-mail: nicm@decsai.ugr.es

Daniel Sanchez. Department of Computer Science and Artificial Intelligence, University of Granada.
e-mail: daniel@decsai.ugr.es

Anna Wilbik. Information Systems, School of Industrial Engineering, Eindhoven University of Technology e-mail: a.m.wilbik@tue.nl

Rui Jorge Almeida. Information Systems, School of Industrial Engineering, Eindhoven University of Technology. e-mail: rjalmeida@tue.nl

Tuesday, 27 October 2015

Call for papers WCCI 2016 Special Session "Recent trends in many-valued logic and fuzziness"

Many-valued logics have constituted for several decades key conceptual tools for the formal description and management of fuzzy, vague and uncertain information. In the last few years, the study of these logical systems has seen a bloom of new research related to the most diverse areas of mathematics and applied sciences. Relevant recent developments in this field are connected to the natural semantics of non-classical events. A non-classical event is described by a formula in the language of a given many-valued logic. A satisfying semantics for such events must account for their different aspects, in particular the "ontic" aspect, related to their vague nature, and the "epistemic" aspect, related to our ignorance, or approximate knowledge about them. The combination in a unique conceptual framework of the logic and the probability of a class of non-classical events, usually reached through the algebraic semantics and their topological or combinatorial dualities, provides both the theoreticians and the application-oriented scholars with powerful tools to deal with this kind of events.

This special session is devoted to the most recent development in the realm of many-valued logics, with particular emphasis on theoretical advances related to algebraic or alternative semantics, combinatorial aspects, topological and categorical methods, proof theory and game theory, many-valued computation. In particular, results directed towards a better understanding of the natural semantics of non-classical events will be appreciated. Further, a special attention is also given to connections and synergies between many-valued logics and other different formal approaches to vague and approximate reasoning, such as Rough Sets, Formal Concept Analysis and Relational Methods.

A partial list of topics is the following:
  • Algebraic semantics of many-valued logics
  • Applications of many-valued logics to Formal Concept Analysis and Relational Methods
  • Applications of many-valued logics to Fuzzy Sets and to Rough Sets
  • Combinatorial or topological dualities
  • Computational complexity of many-valued logics
  • Many-valued computational models
  • Modal logic approaches to probability and uncertainty in many-valued logics
  • Natural and alternative semantics for many-valued logics
  • Proof theory for many-valued logics
  • Representation theory
  • Subjective probability approaches to many-valued logics and non-classical events

Important Dates

Paper Submission Deadline: 15 January 2016;
Paper Acceptance Notification Date: 15 March 2016;
Final Paper Submission and Early Registration Deadline: 15 April 2016;
IEEE WCCI 2016: 25-29 July 2016.

Submission

Paper submission deadline is on January 15, 2016.
All papers must be submitted through the Online Submission System of the conference.
Please submit your paper selecting the option "Main research topic": Special Session on Recent trends in many-valued logic and fuzziness.

In order for your papers to be included in the congress program and the proceedings, final accepted papers must be submitted and the corresponding registration fees must be paid by April 15, 2016.

Organizers

Stefano Aguzzoli, Università degli Studi di Milano
Pietro Codara, Università degli Studi di Milano
Diego Valota, IIIA-CSIC

For more informations, please visit:
http://www.iiia.csic.es/~diego/fuzzieee2016.htm

Tuesday, 13 October 2015

WCCI 2016 Special Session on "Evolutionary Fuzzy Systems"

Brief Description:

For more than two decades, evolutionary computation and various meta-heuristics have frequently been used for fuzzy system design under the name of evolutionary fuzzy systems. Their learning and adaptation capabilities enable structure and parameter optimization of fuzzy systems for many kinds of machine learning tasks such as modeling, classification, and rule mining. Their flexible frameworks also enable to handle multiple objectives like accuracy and interpretability maximization and many kinds of data types like imbalanced, missing, and privacy-preserving data sets. The aim of the session is to provide a forum to disseminate and discuss recent and significant research efforts on Evolutionary Fuzzy Systems in order to deal with current challenges on this topic.

Scope and Topics:

The session is open to any high quality submission from researchers working at the particular intersection of evolutionary algorithms and fuzzy systems. The topics of this special session are as follows:
  • Evolutionary Learning/Tuning of Fuzzy Rule-Based Systems
  • Evolutionary Selection of Fuzzy Rules
  • Interpretability-Accuracy Tradeoff 
  • Multiobjective Evolutionary Fuzzy Systems
  • Evolutionary Fuzzy Neural Networks
  • Evolutionary Fuzzy Clustering
  • Swarm Intelligence for Fuzzy Systems
  • Preprocessing and Postprocessing for Evolutionary Fuzzy Systems
  • Applications of Evolutionary Fuzzy Systems to Real World Problems

Also see: http://www.wcci2016.org/spsessions.php

Please submit papers to FUZZ-IEEE 2016 submission site (http://ieee-cis.org/conferences/fuzzieee2016/upload.php).
If you are invited as reviewers of FUZZ-IEEE 2016 and interested in evolutionary fuzzy systems, please select our special session on the review system. You can change your research topics for review from “Edit your contact information”. Please choose “S. Special Sessions > SS-16 Evolutionary fuzzy systems”. Thank you so much in advance for your contributions to our special session.

Organizers:

Yusuke Nojima
Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
nojima@cs.osakafu-u.ac.jp

Rafael Alcalá
Department of Computer Science and Artificial Intelligence, University of Granada
alcala@decsai.ugr.es

Hisao Ishibuchi
Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
hisaoi@cs.osakafu-u.ac.jp

Short biography of the organizers:

Yusuke Nojima (M’00) received the B.S. and M.S. Degrees in mechanical engineering from Osaka Institute of Technology, Osaka, Japan, in 1999 and 2001, respectively, and the Ph.D. degree in system function science from Kobe University, Hyogo, Japan, in 2004. Since 2004, he has been with Osaka Prefecture University, Osaka, Japan, where he was a Research Associate and is currently an Associate Professor in Department of Computer Science and Intelligent Systems. He serves as an associate editor of IEEE Computational Intelligence Magazine. He has co-edited five Special Issues at international journals, four of them on the evolutionary fuzzy systems topic. He was Program Co-Chair at GEFS 2010 and General Co-Chair at GEFS 2011 and GEFS 2013. He is a member of the Fuzzy Systems Technical Committee (FSTC) at the IEEE Computational Intelligence Society (CIS), and a chair of the “Evolutionary Fuzzy Systems” Task Force from July 2014. His research interests include multiobjective genetic fuzzy systems, evolutionary multi objective optimization, parallel distributed data mining, and ensemble classifier design. He received the Best Paper Awards from HIS 2006, FUZZ-IEEE 2009 and 2011, WAC 2010, SCIS&ISIS 2010, ACIIDS 2015, etc.

Rafael Alcalá received the M.Sc. degree in Computer Science in 1998 and the Ph.D. degree in Computer Science in 2003, both from the University of Granada, Spain. From 1998 to 2003, he was with Department of Computer Science, University of Jaén. He is currently an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada, where he is a Member of the Soft Computing and Intelligent Information Systems Research Group. He has published over 90 papers in international journals, book chapters and conferences. He has worked on several research projects supported by the Spanish government and the European Union. As edited activities, he has co-edited six special issues: the IEEE Transactions on Fuzzy Systems special issue on “Genetic Fuzzy Systems: What’s next”, the Evolutionary Intelligence special issue on “Genetic Fuzzy Systems: New Advances” and, the Special Issues on “Evolutionary Fuzzy Systems” at the Soft Computing journal, the International Journal of Computational Intelligence Systems, the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems and the International Journal on Knowledge-Based Systems. He currently serves as member of the editorial/reviewer board of the journals: IEEE Transactions on Fuzzy Systems (AE), the Scientific World Journal and the Journal of Universal Computer Science. He was a member of the Fuzzy Systems Technical Committee (FSTC) at the IEEE Computational Intelligence Society (CIS) from January 2009 to December 2013, and a chair of the “Evolutionary Fuzzy Systems” Task Force from January 2009 to June 2014. He was Program Co-Chair at GEFS 2010, Area Co-Chair at FUZZ-IEEE 2011 and General Co-Chair at GEFS 2011 and GEFS 2013. His current research interests include multi-objective genetic algorithms and genetic fuzzy systems, particularly the learning/tuning of fuzzy systems for modeling and control with a good trade-off between accuracy and interpretability, as well as fuzzy association rules.

Hisao Ishibuchi (M93-SM10) received the B.Sc. and M.Sc. degrees in precision mechanics from Kyoto University, Kyoto, Japan, in 1985 and 1987, respectively, and the Ph.D. degree in computer science from Osaka Prefecture University, Sakai, Osaka, Japan, in 1992. Since 1987, he has been with Osaka Prefecture University, where he is currently a Professor with the Department of Computer Science and Intelligent Systems. His research interests include fuzzy rule-based classifiers, evolutionary multi- objective optimization, evolutionary fuzzy systems and evolutionary games. He received a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ- IEEE 2009, WAC 2010, SCIS & ISIS 2010, FUZZ-IEEE 2011, and ACIIDS 2015. He also received the 2007 JSPS Prize from Japan Society for the Promotion of Science. Dr. Ishibuchi was the IEEE CIS Vice-President for Technical Activities (2010-2013). He has been a Chair or Co-Chair of a number of conferences such as Program Chair of IEEE CEC 2010, General Chair of ICMLA 2011, Program Co-Chair of FUZZ-IEEE 2011-2013, Technical Co- Chair of IEEE CEC 2013, Program Co-Chair of IEEE CEC 2014, Program Chair of IES 2014, Publicity Chair of IEEE SSCI 2014, Technical Co-Chair of SEAL 2014, Special Sessions Chair of IEEE CEC 2015, and Program Co- Chair of FUZZ-IEEE 2015. Currently, he is the Editor-in-Chief of IEEE Computational Intelligence Magazine (2014-2015). He is also an Associate Editor of IEEE Trans. on Fuzzy Systems, IEEE Trans. on Evolutionary Computation, IEEE Trans. on Cybernetics, and IEEE Access, and a Steering Committee Member of IEEE Trans. on Autonomous Mental Development. He is an IEEE Fellow (2014).

Friday, 9 October 2015

WCCI 2016 Special Session on Belief Function Theory and Its Applications (FUZZ-IEEE-02)

Scope and Topics


Since its inception, belief function theory, also known as Dempster-Shafer theory or evidence theory, has received growing attention in many fields of applications such as finance, technology, biomedicine, etc, despite of its incompetence in combining belief functions with high conflict. To remove the roadblocks in the development of belief function theory, many improvements have been made subsequently, e.g., the present of transferable belief model (TBM) and Dezert-Smarandache theory (DSmT). At present, more and more researchers are dedicated to studying belief function theory from different views for further exploration and better exploitation.
This special session is intended to provide the latest advances of belief function theory, the relationship between belief function theory and other theories such as probability theory, possibility theory, rough set theory, and fuzzy set theory, the fusion of imperfect information in the united framework of random sets theory, together with their applications in artificial intelligence, to enhance the development of belief function theory for solving problems in engineering. We invite original submissions of high quality in this area. The topics of interest include, but are not limited to:

  • Belief function theory
  • Evidence accumulation
  • Temporal information fusion
  • Conflict management
  • Identification fusion
  • Knowledge discovery
  • Data mining
  • Fuzzy sets
  • Rough sets
  • Random sets
  • Applications of artificial intelligence
Special session papers are treated the same as regular papers and must be submitted via the WCCI 2016 submission website. When submitting choose the “Belief Function Theory and Its Applications” special session from the “Main Research Topic” list. Please follow the regular submission guidelines of WCCI 2016. For the sake of convenience, we list some important information in the following.

Important dates:

Paper Submission Deadline:  January 15, 2016
Paper acceptance notification date:  March 15, 2016
Final paper submission deadline:  April 15, 2016
Conference:  July 25-29, 2016

LaTeX and Word Templates

  • To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word.
  • Violations of any of the above paper specifications may result in rejection of your paper. Please note that the Latex template does not allow for keywords. If you are using the Latex template, do not include keywords in your paper.

 

Manuscript Style Information

  • Only papers prepared in PDF format will be accepted.
  • Paper Length: Up to 8 pages, including figures, tables and references. At maximum, two additional pages are permitted with overlength page charge of US$125/page, to be paid during author registration.
  • Paper Formatting: double column, single spaced, #10 point Times Roman font.Margins: Left, Right, and Bottom: 0.75" (19mm). The top margin must be 0.75" (19 mm), except for the title page where it must be 1" (25 mm).
  • No page numbers please. We will insert the page numbers for you.
Note: Violations of any of the above specifications may result in rejection of your paper.

Friday, 4 September 2015

Call for Papers WCCI 2016 Special Session on Type-2 Fuzzy Sets and Systems Applications (T2-A)

Introduction to the Special Session:

Type-2 fuzzy sets and systems are paradigms which seek to realize computationally efficient fuzzy systems with the ability to give excellent performance in the face of highly uncertain conditions.
Specifically, type-2 fuzzy sets provide a framework for the comprehensive capturing and modelling of uncertain data, which, together with approaches such as clustering and similarity measures (to name but two) provides strong capability for reasoning about and with uncertain information sources in a variety of contexts and applications.
Type-2 fuzzy systems combine the potential of type-2 fuzzy sets with the strengths of rule-based inference in order to provide highly capable inference systems over uncertain data which remain white-box systems (i.e. interpretable).

The aim of this special session is to present and focus top quality research in the areas related to the practical aspects and applications of type-2 fuzzy sets and systems. The session will also provide a forum for the academic community and industry to report on recent advances within the type-2 fuzzy sets and systems research. Topics include, but are not limited to:

  • Type-2 Applications
  • Applications including similarity and distance measures for type-2 fuzzy sets
  • Data analysis*
  • Robotics*
  • Decision Making*
  • Clustering and Classification*
  • Modelling*
  • Computing with words*
  • Type-2 Fuzzy Agents
  • Any other application area that employs type-2 fuzzy sets

* using type-2 fuzzy sets and/or fuzzy systems

Contact email: christian.wagner@nottingham.ac.uk

Organizers:

Dr Christian Wagner
Horizon Digital Economy Institute & Intelligent Modeling and Analysis Group
School of Computer Science
University of Nottingham, UK
Email: christian.wagner@nottingham.ac.uk
http://ima.ac.uk/wagner
   
Prof Hani Hagras
School of Computer Science and Electronic Engineering
University of Essex, UK
Email: hani@essex.ac.uk
http://cswww.essex.ac.uk/staff/hagras/hani.htm

Monday, 31 August 2015

Call for Papers: WCCI 2016 Special Session "Advances to Type-2 Fuzzy Logic Control"

Aim and Scope

Type-2 fuzzy logic control is a technology which takes the fundamental concepts in control from type-1 fuzzy logic and expands upon them in order to deal with higher levels of uncertainty presented in many real-world control problems. A variety of control application areas have been addressed with type-2 fuzzy logic, from the control in steel production plants to the control of marine diesel engines and robotic control. For some engineering applications, there is evidence that type-2 fuzzy logic can provide benefits over both traditional forms of control as well as type-1 fuzzy logic. It is the aim of this special session to attract a comprehensive selection of high quality current research in this area of type-2 control, motivating further collaboration and providing a platform for the discussion on future directions of type-2 fuzzy logic control by active researchers in the field. This special session will address advances in interval type-2 as well as general type-2 fuzzy logic control. Topics include, but are not limited to:
  • Interval Type-2 Fuzzy Logic Control
  • General Type-2 Fuzzy Logic Control
  • Type-2 TSK Fuzzy Logic Control
  • PID type Type-2 Fuzzy Logic Control
  • Model-Based Type-2 Fuzzy Logic Control
  • Adaptive / Self-Tuning Type-2 Fuzzy Control 
  • Neuro-Fuzzy Type-2 Control
  • Applications of Type-2 Fuzzy Controllers

Information for Authors

  1. Information on the format and templates for papers can be found here: http://www.wcci2016.org/submission.php
  2. Papers should be submitted via the FUZZ 2016 paper submission site: http://ieee-cis.org/conferences/fuzzieee2016/upload.php 
  3. Select the Special Session name “Advances to Type-2 Fuzzy Logic Control” in the Main Research topic dropdown list
  4.  Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of January 15, 2016

Names of Organizers

Asst. Prof. Dr. Tufan KUMBASAR
Istanbul Technical University, Turkey,
kumbasart@itu.edu.tr

Prof. Hao YING,
Wayne State University,
Detroit, USA, hao.ying@wayne.edu

TUFAN KUMBASAR is an Assistant Professor in the Department of Control and Automation at the Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Turkey. He is also the co-director of the ABB Process Control Laboratory at the Istanbul Technical University. Dr. Tufan Kumbasar has participated in leading positions in many national and international projects as principal, main investigator, researcher and consultant. He also works as a peer reviewer for about 25 international journals such as IEEE Transactions on Fuzzy Systems, Soft Computing, Journal of Intelligent and Fuzzy Systems and Applied Soft Computing. He is also a member of the IEEE Computational Intelligence Society (CIS). He has served recently as a Panel Session Co-Chair in FUZZ 2015 where he also has co-organized the special session entitled “Advances to Type-2 Fuzzy Logic Control”. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy logic, neural networks, evolutionary algorithms and control theory. He is also interested in process control, robotics and intelligent control and their real-world applications. He has currently authored more than 50 papers in international journals, conferences and books. Dr. Kumbasar received the Best Paper Award from the IEEE International Conference on Fuzzy Systems in 2015.

HAO YING is Professor in the Department of Electrical and Computer Engineering, Wayne State University, Detroit, USA. He is an IEEE Fellow. He has published one single-author research monograph/advanced textbook entitled Fuzzy Control and Modeling: Analytical Foundations and Applications (IEEE Press, 2000, 342 pages; foreword by Professor Lotif A. Zadeh), which contains solely his own research results. He has coauthored another book titled Type-2 Fuzzy Logic Control: Introduction to Theory and Applications (John Wiley & Sons, Inc., 2014). He holds one U.S. patent and has published almost 100 peer-reviewed journal papers and over 140 peer-reviewed conference papers. Prof. Ying's work has been widely cited - his h-index is 35 (the 35 publications included in his index have by themselves generated more than 3,200 citations so far). He is serving as an Associate Editor or a Member of Editorial Board for 9 international journals. He is a member of the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society. He was elected to serve as a board member of the North American Fuzzy Information Processing Society (NAFIPS) for two terms (2005-2008 and 2008-2011). He served as Program Chair for the 2005 NAFIPS Conference and Program Co-Chair for the 2010 NAFIPS Conference as well as for the International Joint Conference of NAFIPS Conference, Industrial Fuzzy Control and Intelligent System Conference, and NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic held in 1994. He served as the Publication Chair for the 2000 IEEE International Conference on Fuzzy Systems and the Competition Chair for this annual conference in 2009 and 2011. He also served as a Program Committee Member for over 50 international conferences. He was invited to serve as reviewer for nearly 80 international journals, which are in addition to major international conferences and book publishers.

Tuesday, 4 August 2015

Call for Papers WCCI 2016 Special Session: Software for Soft Computing

Organizers: Jesús Alcalá-Fdez and Jose M. Alonso

This session has been provisionally accepted for the FUZZ-IEEE 2016 conference which will be held as part of the 2016 IEEE WCCI in Vancouver, Canada at July 25-29, 2016.

The term Soft Computing is usually used in reference to a family of several preexisting techniques (Fuzzy Logic, Neuro-computing, Probabilistic Reasoning, Evolutionary Computation, etc.) able to work in a cooperative way, taking profit from the main advantages of each individual technique, in order to solve lots of complex real-world problems for which other classical techniques are not quite well suited.

In the last few years, many software tools have been developed for Soft Computing. Although a lot of them are commercially distributed, unfortunately only a few tools are available as open source software. In the field of evolutionary computation, JCLEC (Java Class Library for Evolutionary Computation), KEEL (Knowledge Extraction based on Evolutionary Learning), and JMetal (Metaheuristic Algorithms in Java) provide nice examples of frameworks for both evolutionary and multi-objective optimization. JavaNNS (Java version of Stuttgart Neural Network Simulator) is probably the best free suite for neural networks. Regarding fuzzy modeling, Xfuzzy (a development environment for fuzzy-inference-based systems), FisPro (Fuzzy Inference System Professional), and GUAJE (Generating Understandable and Accurate fuzzy models in a Java Environment) represent very useful tools. Regarding neuro-fuzzy algorithms we can point out to NEFCLASS (Neuro-Fuzzy Classification). Finally, FrIDA (Free Intelligent Data Analysis Toolbox) and KNIME (Konstanz Information Miner) are examples of user-friendly open-source software which offer several individual tools for data processing, analysis and exploration/visualization. Please, notice that such open tools have recently reached a high level of development. As a result, they are ready to play an important role for industry and academia research.

Objectives and Scope

The aim of this session is to provide a forum to disseminate and discuss Software for Soft Computing, with special attention to Fuzzy Systems Software. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.

Potential topics of interest include but are not limited to:

  • Data Preprocessing
  • Data Mining and Evolutionary Knowledge Extraction
  • System Validation, Verification, and Exploratory Analysis
  • Knowledge Extraction and Linguistic/Graphical Representation
  • Visualization of Results
  • Languages for Soft Computing Software
  • Interoperability
  • High Performance Computing (Map-Reduce, GPGPU, etc.)
  • Applications

Deadlines

  • Paper submission: January 15th, 2016
  • Acceptance/rejection notification: March 15th, 2016
  • Final paper submission: April 15th, 2016
  • Conference dates: July 25-29, 2016

Program Committee

  • Jesús Alcalá-Fdez, University of Granada (Spain)
  • José M. Alonso, European Centre for Soft Computing (Spain)
  • Plamen Angelov, Lancaster University (United Kingdom)
  • Christian Borgelt, European Centre for Soft Computing (Spain)
  • Brigitte Charnomordic, INRA/SupAgro (France)
  • Jose M. Cadenas, University of Murcia (Spain)
  • Oscar Cordon, University of Granada (Spain)
  • Serge Guillaume, Cemagref (France)
  • Francisco Herrera, University of Granada (Spain)
  • Chin Teng Lin, National Chiao Tung University (Taiwan)
  • Luis Magdalena, European Centre for Soft Computing (Spain)
  • Detlef Nauck, BT's Intelligent Systems Research Centre (United Kingdom)
  • Luciano Sánchez, University of Oviedo (Spain)

Notes

If you are interested in taking part on this special session, please submit your paper directly through the WCCI web site selecting the option "Main research topic": Special Session on Software for Soft Computing. You can find further information related to the submission process and important dates at conference web site.

Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of the FUZZ-IEEE 2016.

Organizers and Contact

Jesús Alcalá-Fdez. Contact information:
Chair of the Task Force on Fuzzy Systems Software and member of the Fuzzy Systems Technical Committee (FSTC) of the Computational Intelligence Society (CIS) of the IEEE
Email address: jalcala@decsai.ugr.es
Postal address: Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain
Telephone number: +34-958-240429
Fax Number: +34-958-243317
  
Jose M. Alonso. Contact information:
Vice Chair of the IEEE Task Force on Fuzzy Systems Software
Email address: jose.alonso@softcomputing.es
Postal address: European Centre for Soft Computing, 33600 Mieres, Asturias, Spain
Telephone number: +34-985-456545
Fax Number: +34-985-456699

Monday, 3 August 2015

Call for Papers WCCI 2016 Special Session: Uncertainty Theory and Its Application

Organizers:

Zutong Wang, Ph.D
Senior Lecturer
School of Materiel Management and Safety Engineering
Air Force Engineering University
Xi’an 710051, China
Email: bravetom@163.com

Baoding Liu, Ph.D
Professor
Uncertainty Theory Laboratory
Department of Mathematical Sciences
Tsinghua University
Beijing 100084, China
Tel: +86.10.6278.7724
Email: liu@tsinghua.edu.cn
http://orsc.edu.cn/liu

Dan Ralescu, Ph.D
Professor
Department of Mathematical Sciences
University of Cincinnati
Cincinnati, OH 45221-0025
U.S.A.
Email: ralescd@ucmail.uc.edu

Jiansheng Guo, Ph.D
Professor
School of Materiel Management and Safety Engineering
Air Force Engineering University
Xi’an 710051, China
Email: amisc@163.com

In order to deal with indeterminacy mathematically, two axiomatic systems have been founded, namely, probability theory and uncertainty theory. When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. In order to rationally deal with personal belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of mathematics.

Scope and Topics

The goal of this special session is to provide an excellent forum for the discussion of the latest theoretical advances and practical applications in this exciting research field, to help foster the understanding, development, and practice of uncertainty theory for solving problems in economy, engineering, management and the social sciences. We invite the submission of high-quality, original and unpublished papers in this area. The topics of interest include, but are not limited to:
  • Uncertainty theory
  • Uncertain statistics 
  • Uncertain programming 
  • Uncertain risk analysis 
  • Uncertain set 
  • Uncertain logic 
  • Uncertain inference 
  • Uncertain process 
  • Uncertain calculus 
  • Uncertain differential equation 
  • Other real-world applications

Short biography of the organizers

Zutong Wang received his B.S. degree in 2009, M.S. degree in 2011 and Ph.D. degree in 2014 from Air Force Engineering University. He joined Air Force Engineering University as Lecturer in 2012. Dr. Wang’s main research interests are uncertainty theory, uncertain programming, multiobjective programming, UAV mission planning, intelligent algorithm and combinatorial optimization.
Baoding Liu received his B.S. degree in 1986 from Nankai University, and his M.S. degree in 1989 and Ph.D. degree in 1993 from Chinese Academy of Sciences. He joined Tsinghua University as Associate Professor in 1996, and was appointed Professor of Mathematics in 1998. Dr. Liu’s research led to the development of uncertainty theory that is a branch of axiomatic mathematics for modeling belief degrees.

Dan Ralescu received his Ph.D. degree in 1980 from Indiana University (Bloomington). He joined University of Cincinnati as Assistant Professor in 1980, and was appointed Professor of Mathematics in 1995. Dr. Ralescu’s main research interests are Probability Theory, Limit theorems for random sets; mixed models of uncertainty; fuzzy sets and their applications; statistical decision theory in the presence of fuzziness; testing of statistical hypotheses using set-valued data; Bayesian robustness; management of large data sets.

Jiansheng Guo received his B.S. degree in 1988 and M.S. degree in 1996 from Air Force Engineering University, and his Ph.D. degree in 2003 from Northwestern Polytechnical University. He joined Air Force Engineering University as Associate Professor in 1996, and was appointed Professor of Engineering in 2003. Dr. Guo’s main research interests are information management system, big data, uncertain programming, multiobjective programming, redundancy allocation problem, intelligent algorithm and combinatorial optimization.

The main previous work by Zutong Wang
[1] Zutong Wang; Jiansheng Guo; Mingfa Zheng; Ying Wang. Uncertain multiobjective traveling salesman problem[J]. European Journal of Operational Research, 241(2), pp 478-489, 2015.
[2] Zutong Wang; Guo, Jiansheng; Zheng, Mingfa; Yang, Youshe. A new approach for uncertain multiobjective programming problem based on p-e principle[J]. Journal of Industrial and Management Optimization, 11(1), pp 13-26, 2015/1.
[3] Guo Jiansheng; Zutong Wang; Zheng Mingfa; Wang Ying. Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm[J]. Chinese Journal of Aeronautics, 27(6), pp 1477-1487, 2015.
[4] Zutong Wang; Guo Jiansheng; Zheng Mingfa; Wang Ying. A new hybrid intelligent algorithm for fuzzy multiobjective programming problem based on credibility theory[J]. Mathematical Problems in Engineering, 12(1), 2014.
[5] Zheng Mingfa; Yi Yuan; Zutong Wang; Jeng-Fung Chen. Study on two-stage uncertain programming based on uncertainty theory[J]. Journal of Intelligent Manufacturing, 26(3), 2014.
[6] Zutong Wang; S. Mahmoud Taheri; Mingfa Zheng; Pengtao Zhang. Efficient solutions for uncertain random multiobjective programming problem[J]. Journal of Uncertain Systems, 8(4), pp 309-316, 2014.
[7] Zutong Wang; Guo Jiansheng; Mingfa Zheng; Qifang He. A hybrid algorithm for stochastic multiobjective programming problem[C]. Proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, 2015/03/29-2015/04/01, Guimarães, 2015/02/05.

Saturday, 1 August 2015

Call for Papers WCCI 2016 Special Session: Belief Function Theory and Its Applications

Scope and Topics

Since its inception, belief function theory, also known as Dempster-Shafer theory or evidence theory, has received growing attention in many fields of applications such as finance, technology, biomedicine, etc, despite of its incompetence in combining belief functions with high conflict. To remove the roadblocks in the development of belief function theory, many improvements have been made subsequently, e.g., the present of transferable belief model (TBM) and Dezert-Smarandache theory (DSmT). At present, more and more researchers are dedicated to studying belief function theory from different views for further exploration and better exploitation.

This special session is intended to provide the latest advances of belief function theory, the relationship between belief function theory and other theories such as probability theory, possibility theory, rough set theory, and fuzzy set theory, the fusion of imperfect information in the united framework of random sets theory, together with their applications in artificial intelligence, to enhance the development of belief function theory for solving problems in engineering. We invite original submissions of high quality in this area. The topics of interest include, but are not limited to:
  • Belief function theory
  • Evidence accumulation
  • Temporal information fusion
  • Conflict management
  • Identification fusion
  • Knowledge discovery
  • Data mining
  • Fuzzy sets
  • Rough sets
  • Random sets
  • Applications of artificial intelligence
Special session papers are treated the same as regular papers and must be submitted via the WCCI 2016 submission website. When submitting choose the “Belief Function Theory and Its Applications” special session from the “Main Research Topic” list. Please follow the regular submission guidelines of WCCI 2016. For the sake of convenience, we list some important information in the following.

 

Important dates:

Paper Submission Deadline:  January 15, 2016
Paper acceptance notification date:  March 15, 2016
Final paper submission deadline:  April 15, 2016
Conference:  July 25-29, 2016

 

LaTeX and Word Templates

•    To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word.
•    Violations of any of the above paper specifications may result in rejection of your paper. Please note that the Latex template does not allow for keywords. If you are using the Latex template, do not include keywords in your paper.

 

Manuscript Style Information

  • Only papers prepared in PDF format will be accepted.
  • Paper Length: Up to 8 pages, including figures, tables and references. At maximum, two additional pages are permitted with overlength page charge of US$125/page, to be paid during author registration.
  • Paper Formatting: double column, single spaced, #10 point Times Roman font.
  • Margins: Left, Right, and Bottom: 0.75" (19mm). The top margin must be 0.75" (19 mm), except for the title page where it must be 1" (25 mm).
  • No page numbers please. We will insert the page numbers for you.
Note: Violations of any of the above specifications may result in rejection of your paper.

Saturday, 25 April 2015

Repost: Call for Papers: IEEE WCCI 2016

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over theworld to discuss and present their research findings on computational intelligence.

IEEE WCCI 2016 will be held at the Vancouver Convention Centre, Vancouver, Canada. Vancouver is Canada’s Pacific gem, offering a winning combination of world-class hotels, meeting venues, and restaurants in a setting of spectacular beauty. Few convention cities can offer such a wide range of cosmopolitan amenities in a downtown core that is safe, clean, pedestrian friendly, and stunning in its backdrop of mountains and ocean.

IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelligence Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.

FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.

IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.

Call for Papers

Papers for IEEE WCCI 2016 should be submitted electronically through the Congress website at www.wcci2016.org, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity.

Call for Tutorials

IEEE WCCI 2016 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs.

Call for Special Session Proposals

IEEE WCCI 2016 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research areas are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs.

Call for Competition Proposals

IEEE WCCI 2016 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chair.

Important Dates

  • Special Session & Workshop Proposals Deadline:  15 November 2015
  • Competition & Tutorial Proposals Deadline:  15 December 2015 
  • Paper Submission Deadline:  15 January 2016 
  • Paper Acceptance Notification Date:  15 March 2016 
  • Final Paper Submission & Early Registration Deadline:  15 April 2016
  • IEEE WCCI 2016:  25-29 July 2016
For more information on the congress, please visit: www.wcci2016.org

Organizing Committee

General Co-Chairs
Kay Chen Tan, Singapore
Gary G. Yen, USA

IJCNN Conference Chair
Pablo A. Estevez, Chile

IJCNN Technical Chairs
Plamen P. Angelov, UK
Emilio Del Moral Hernandez, Brazil
Derong Liu, USA
Lipo Wang, Singapore

FUZZ-IEEE Conference Chair
Oscar Cordon, Spain

FUZZ-IEEE Technical Chairs
James M. Keller, USA
Naoyuki Kubota, Japan
Bernadette R. Bouchon Meunier, France
Nikhil R. Pal, India

CEC Conference Chair
Yew Soon Ong, Singapore

CEC Technical Chairs
Carlos A. Coello Coello, Mexico
Garrison W. Greenwood, USA
Sanaz Mostaghim, Germany
Yuhui Shi, China

Competitions Chair
Simon M. Lucas, UK

Conflict-of-Interest Paper Chairs
Cesare Alippi, Italy
Gary B. Fogel, USA
Hisao Ishibuchi, Japan

Exhibits Chair

Fakhri Karray, Canada

Finance Chair
Haibo He, USA

Local Arrangements Chair
Yifeng Li, Canada

Panel Sessions Chair
Marios M. Polycarpou, Cyprus

Paper Submissions Chair
Ke Tang, China

Plenary Sessions Chair
Chin-Teng Lin, Taiwan

Poster Sessions Chairs
Jong-Hwan Kim, South Korea
Laszlo T. Koczy, Hungary
Yi Zhang, China

Publications Chair
Hussein A. Abbass, Australia

Publicity Chairs
Rami Abielmona, Canada
Valentina E. Balas, Romania
Min Jiang, China
Xiaodong Li, Australia
Dongbin Zhao, China

Registrations Chair
Yaochu Jin, UK

Special Sessions Chairs
Uzay Kaymak, Netherlands
Mengjie Zhang, New Zealand
Zhi-Hua Zhou, China

Student Activities Chair
Dipti Srinivasan, Singapore

Tutorials Chairs
Kalyanmoy Deb, USA
Hani Hagras, UK
Nikola Kasabov, New Zealand

Workshops Chair
Piero P. Bonissone, USA

Saturday, 24 January 2015

Call for Papers: IEEE WCCI 2016

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over theworld to discuss and present their research findings on computational intelligence.

IEEE WCCI 2016 will be held at the Vancouver Convention Centre, Vancouver, Canada. Vancouver is Canada’s Pacific gem, offering a winning combination of world-class hotels, meeting venues, and restaurants in a setting of spectacular beauty. Few convention cities can offer such a wide range of cosmopolitan amenities in a downtown core that is safe, clean, pedestrian friendly, and stunning in its backdrop of mountains and ocean.

IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelligence Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.

FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.

IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.

Call for Papers

Papers for IEEE WCCI 2016 should be submitted electronically through the Congress website at www.wcci2016.org, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity.

Call for Tutorials

IEEE WCCI 2016 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs.

Call for Special Session Proposals

IEEE WCCI 2016 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research areas are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs.

Call for Competition Proposals

IEEE WCCI 2016 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chair.

Important Dates

  • Special Session & Workshop Proposals Deadline:  15 November 2015
  • Competition & Tutorial Proposals Deadline:  15 December 2015 
  • Paper Submission Deadline:  15 January 2016 
  • Paper Acceptance Notification Date:  15 March 2016 
  • Final Paper Submission & Early Registration Deadline:  15 April 2016
  • IEEE WCCI 2016:  25-29 July 2016
For more information on the congress, please visit: www.wcci2016.org

Organizing Committee

General Co-Chairs
Kay Chen Tan, Singapore
Gary G. Yen, USA

IJCNN Conference Chair
Pablo A. Estevez, Chile

IJCNN Technical Chairs
Plamen P. Angelov, UK
Emilio Del Moral Hernandez, Brazil
Derong Liu, USA
Lipo Wang, Singapore

FUZZ-IEEE Conference Chair
Oscar Cordon, Spain

FUZZ-IEEE Technical Chairs
James M. Keller, USA
Naoyuki Kubota, Japan
Bernadette R. Bouchon Meunier, France
Nikhil R. Pal, India

CEC Conference Chair
Yew Soon Ong, Singapore

CEC Technical Chairs
Carlos A. Coello Coello, Mexico
Garrison W. Greenwood, USA
Sanaz Mostaghim, Germany
Yuhui Shi, China

Competitions Chair
Simon M. Lucas, UK

Conflict-of-Interest Paper Chairs
Cesare Alippi, Italy
Gary B. Fogel, USA
Hisao Ishibuchi, Japan

Exhibits Chair

Fakhri Karray, Canada

Finance Chair
Haibo He, USA

Local Arrangements Chair
Yifeng Li, Canada

Panel Sessions Chair
Marios M. Polycarpou, Cyprus

Paper Submissions Chair
Ke Tang, China

Plenary Sessions Chair
Chin-Teng Lin, Taiwan

Poster Sessions Chairs
Jong-Hwan Kim, South Korea
Laszlo T. Koczy, Hungary
Yi Zhang, China

Publications Chair
Hussein A. Abbass, Australia

Publicity Chairs
Rami Abielmona, Canada
Valentina E. Balas, Romania
Min Jiang, China
Xiaodong Li, Australia
Dongbin Zhao, China

Registrations Chair
Yaochu Jin, UK

Special Sessions Chairs
Uzay Kaymak, Netherlands
Mengjie Zhang, New Zealand
Zhi-Hua Zhou, China

Student Activities Chair
Dipti Srinivasan, Singapore

Tutorials Chairs
Kalyanmoy Deb, USA
Hani Hagras, UK
Nikola Kasabov, New Zealand

Workshops Chair
Piero P. Bonissone, USA