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IEEE-SSCI 2013: Technical Program
IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems
(IEEE T2FUZZ 2013)
Type-1 fuzzy sets have, for more than forty years, laid the basis for a successful method of modelling uncertainty, vagueness
and imprecision. Type-1 Fuzzy Logic Systems (FLSs) have several real world applications and particularly in consumer
products and control applications. It has been argued that the traditional type-1 FLS which uses crisp type-1 fuzzy sets
cannot handle high levels of uncertainties appropriately. Nevertheless it has been shown that a type-2 FLS using type-2
fuzzy sets can handle higher level of uncertainties better and thus produce a better performance. As such, type-2 FLSs are
considered to have the potential to overcome the limitations of type-1 FLSs and produce a new generation of fuzzy systems
with improved performance for many applications which require handling high levels of uncertainty.
This symposium will be made up of two sessions of loosely based around theoretical advances and applications of type-2
system. We hope you find the symposium enjoyable and that you find the contributions presents stimulating and thought
provoking.
Co-Chair(s)
Simon Coupland
De Montfort University, UK
Program Committee
Robert John, University of Nottingham, United Kingdom
Vladik Kreinovich, Uiversity of Texas at El Paso, USA
Jerry Mendel, University of Southern California, USA
Oscar Castillo, Tijuana Institute of Technology, Mexico
Etienne Kerre, University of Gent, Belgium
Woei Wan Tan, National University of Singapore
Leszek Rutkowski, Technical University of Czestochowa
Hongwei Wu, Georgia Institute of Technology, USA
Frank Chung-Hoon Rhee, Hanyang University, Korea
Miguel Melgarejo, Universidad Distrital Francisco José de Caldas,
Colombia
Jon Garibaldi, University of Nottingham, United Kingdom
Particia Melin, Tijuana Institute of Technology, Mexico
Christian Wagner, University of Essex, UK
Faiyaz Doctor, Coventry University, UK
Simon Coupland, De Montfort University, UK
Jethro Shell, De Montfort University, UK
Woei Wan Tan
National University of Singapore, Singapore
Hussam Hamrawi, University of Bahri, Sudan
Qilian Liang, University of Texas at Arlington, USA
Honghai Liu, University of Portsmouth, UK
Shan-Ming Zhou, University of Swansea, UK
Dongrui Wu, University of Southern California, USA
Feilong Liu, Chevron Energy Technology Company, USA
Mohammad Bilgarbegian, University of Waterloo, Canada
William Melek, University of Waterloo, Canada
Hao Ying, Wayne State University, USA
Adam Niewiadomski, University of Lodz, Poland
Okyay Kaynak, Bogazci University, Turkey
Burhan Turksen, University of Toronto, Canada
Huberto Bustince, University of Navarra, Spain
John Rickard, Lockheed Martin Corporation, USA
Sergio Guadarrama, European Center for Soft Computing, Spain
Milos Manic, University of Idaho, USA
Session: Type-2 Fuzzy Sets and Systems I
Chair: Woei Wan Tan Co-Chair: Simon Coupland
Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Sharma Level 4
SS-0078 Employing an Interval Type-2 Fuzzy Logic and Hesitation Index in a Multi Criteria Group Decision Making
System for Lighting Level Selection in an Intelligent Environment—Syibrah Naim, Hani Hagras
and Aysenur Bilgin
SS-0551 Using Nonstationary Fuzzy Sets to Improve the Tractability of Fuzzy Association Rules—Simon Coupland and
Stephen G. Matthews
SS-0659 Shadowed Type-2 Fuzzy Logic Systems—Dumidu Wijayasekara, Ondrej Linda and Milos Manic
Session: Type-2 Fuzzy Sets and Systems II
Chair: Simon Coupland Co-Chair: Woei Wan Tan
Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Sharma Level 4
SS-0321 Fuzzistics for Interval Type-2 Fuzzy Sets Using Centroid as Measure of Uncertainty—Maowen Nie
and Woei Wan Tan
SS-0826 Type-2 Fuzzy SARIMA System for Real-Valued Uncertain Non-Stationary Data-Intensive Seasonal Time
Series—Yuying Wang and Robert John
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IEEE-T2FUZZ 2013