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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.engappai.2005.12.011
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dc.titleGenetic learning and performance evaluation of interval type-2 fuzzy logic controllers
dc.contributor.authorWu, Dongrui
dc.contributor.authorWan Tan, Woei
dc.date.accessioned2014-06-17T02:51:03Z
dc.date.available2014-06-17T02:51:03Z
dc.date.issued2006-12
dc.identifier.citationWu, Dongrui, Wan Tan, Woei (2006-12). Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers. Engineering Applications of Artificial Intelligence 19 (8) : 829-841. ScholarBank@NUS Repository. https://doi.org/10.1016/j.engappai.2005.12.011
dc.identifier.issn09521976
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56128
dc.description.abstractType-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understanding of interval type-2 fuzzy logic controllers (FLCs). First, a type-2 FLC is evolved using Genetic Algorithms (GAs). The type-2 FLC is then compared with another three GA evolved type-1 FLCs that have different design parameters. The objective is to examine the amount by which the extra degrees of freedom provided by antecedent type-2 fuzzy sets is able to improve the control performance. Experimental results show that better control can be achieved using a type-2 FLC with fewer fuzzy sets/rules so one benefit of type-2 FLC is a lower trade-off between modeling accuracy and interpretability. © 2006 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.engappai.2005.12.011
dc.sourceScopus
dc.subjectGenetic algorithms
dc.subjectModelling uncertainty
dc.subjectProcess control
dc.subjectType-2 fuzzy logic controller
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.engappai.2005.12.011
dc.description.sourcetitleEngineering Applications of Artificial Intelligence
dc.description.volume19
dc.description.issue8
dc.description.page829-841
dc.description.codenEAAIE
dc.identifier.isiut000242694900001
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