DocumentCode :
2753481
Title :
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
Link To Document :
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