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Author Almaraashi, M. ♦ John, R. ♦ Coupland, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy sets ♦ Fuzzy logic ♦ Simulated annealing ♦ Fuzzy systems ♦ Time series analysis ♦ Training ♦ Uncertainty
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.
Description Author affiliation: Centre for Computational Intelligence, Faculty of Technology, De Montfort University, Leicester LE1 9BH, U.K. (Almaraashi, M.; John, R.; Coupland, S.)
ISBN 9781467315074
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-06-10
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467315067
Size (in Bytes) 839.36 kB
Page Count 8
Starting Page 1
Ending Page 8

Source: IEEE Xplore Digital Library