2020 IEEE International Conference on Fuzzy Systems

(FUZZ-IEEE 2020)

19-24 July 2020, Glasgow, UK

 

Special Session on Fuzzy Interpolation

Fuzzy interpolation provides a flexible means to perform reasoning in the presence of insufficient knowledge that is represented as a sparse fuzzy rule base. It enables approximate inference to be carried out from a rule base that does not cover a given observation. Fuzzy interpolation also provides a way to simplify complex-system 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.

Objectives and Topics:

 

The aim of this special session is to provide a forum:

      To disseminate and discuss recent and significant research efforts in the development of fuzzy interpolation and related techniques,

      To promote both theoretical and practical applications of fuzzy interpolation, and

      To foster integration of fuzzy interpolation with other computational intelligence techniques.

 

The topics of this special session will include but are not limited to:

      Fuzzy interpolation

      Fuzzy extrapolation

      Fuzzy interpolative learning

      Fuzzy systems simplification

      Fuzzy set transformation

      Fuzzy set representation

      Fuzzy interpolation application

      Fuzzy function approximation

      Hybrid fuzzy interpolation systems

      Comparative studies of interpolation methods

 

Organizers and Contact Information:

 

Name: Qiang Shen

Email address: qqs@aber.ac.uk

Affiliation: Faculty of Business and Physical Sciences, 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