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.

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