Designing generalised type-2 fuzzy logic systems using interval type-2 fuzzy logic systems and simulated annealing

Author

Almaraashi, Majid ; John, Robert ; Coupland, Simon

Author_Institution

Centre for Comput. Intell., De Montfort Univ., Leicester, UK

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

8

Abstract

In this paper, simulated annealing algorithm is used to design general type-2 fuzzy logic systems (GT2FLS) with the aid of interval type-2 fuzzy logic systems (IT2FLS). The proposed practical design methodology aims to reduce computations needed to get the best footprint of uncertainty (FOU) using IT2FLS. Simulated annealing is used to learn IT2FLS followed by learning the secondary membership functions in GT2FLS using a novel parameterization method. This methodology has been applied to four bench-mark problems. some practical issues have been discussed and some analysis of the results obtained by IT2FLS and GT2FLS has been drawn.

Keywords

fuzzy logic; fuzzy systems; simulated annealing; FOU; GT2FLS; IT2FLS; footprint of uncertainty; generalised type-2 fuzzy logic systems; interval type-2 fuzzy logic systems; novel parameterization method; secondary membership functions; simulated annealing algorithm; Fuzzy logic; Fuzzy sets; Fuzzy systems; Simulated annealing; Time series analysis; Training; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Conference_Location

Brisbane, QLD

ISSN

1098-7584

Print_ISBN

978-1-4673-1507-4

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZ-IEEE.2012.6251219

Filename

6251219