Fuzzy interpolation provides a flexible means to perform reasoning in the presence of insufficient knowledge that is represented as sparse fuzzy rule bases. It enables approximate inferences to be carried out from a rule base that does not cover a given observation. Fuzzy interpolation also provides a way to simplify complex systems models and/or the process of fuzzy rule generation. It allows the reduction of the number of rules needed, thereby speeding up parameter optimisation and runtime efficiency.
The aim of this special session is to provide a forum:
The topics of this special session will include but are not limited to:
Deadline for Papers Submission: 19 December 2011
Notification of Acceptance/Rejection: 20 February 2012
Deadline for Camera-ready Papers: 2 April 2012
Conference Dates: 10-15 June 2012
Papers should be submitted electronically. For details on submissions, please refer to the WCCI 2012 website.
Bernadette
Bouchon-Meunier, France
Shyi-Ming Chen,
Taiwan
Tamas Gedeon,
Australia
Lluís Godo, Spain
Zhiheng Huang, USA
Laszlo T. Koczy,
Hungary
Takanori Koga,
Japan
Szilveszter
Kovacs, Hungary
Henri Parade,
France
Irina Perfiljeva,
Czech Republic
Maria Rifqi,
France
Qiang Shen, UK
Kok Wai Wong,
Australia
Longzhi Yang, UK
Name: Qiang Shen
Email address: qqs@aber.ac.uk
Affiliation: Department of Computer Science, Aberystwyth University, UK
Name: Laszlo T. Koczy
Email address: koczy@tmit.bme.hu
Affiliation: Faculty of Engineering Sciences, Szechenyi Istvan University, Hungary
Name: Shyi-Ming Chen
Email address: smchen@mail.ntust.edu.tw
Affiliation: Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan