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:
á
To disseminate and discuss recent and
significant research efforts in the development of fuzzy interpolation and
related techniques,
á
To promote both theoretical and
practical applications of fuzzy interpolation, and
á
To foster integration of fuzzy
interpolation with other computational intelligence techniques.
The topics of this special
session will include but are not limited to:
á
Fuzzy
interpolation
á
Fuzzy
extrapolation
á
Fuzzy
interpolative learning
á
Fuzzy systems
simplification
á
Fuzzy set
transformation
á
Fuzzy set
representation
á
Fuzzy
interpolation application
á
Fuzzy function
approximation
á
Hybrid fuzzy
interpolation systems
á
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