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