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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25193
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dc.contributor.authorLi, Jiaweien_UK
dc.contributor.authorJohn, Roberten_UK
dc.contributor.authorCoupland, Simonen_UK
dc.contributor.authorKendall, Grahamen_UK
dc.date.accessioned2018-04-14T00:03:57Z-
dc.date.available2018-04-14T00:03:57Z-
dc.date.issued2018-04en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25193-
dc.description.abstractType-reduction of type-2 fuzzy sets is considered to be a defuzzification bottleneck because of the computational complexity involved in the process of type-reduction. In this research, we prove that the closed-form Nie-Tan operator, which outputs the average of the upper and lower bounds of the footprint of uncertainty, is actually an accurate method for defuzzifing interval type-2 fuzzy sets.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationLi J, John R, Coupland S & Kendall G (2018) On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems, 26 (2), pp. 1036-1039. https://doi.org/10.1109/TFUZZ.2017.2666842en_UK
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_UK
dc.subjectNie-Tan operatoren_UK
dc.subjectInterval Type-2 fuzzy setsen_UK
dc.subjecttype-reductionen_UK
dc.subjectdefuzzificationen_UK
dc.titleOn Nie-Tan operator and type-reduction of interval type-2 fuzzy setsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1109/TFUZZ.2017.2666842en_UK
dc.citation.jtitleIEEE Transactions on Fuzzy Systemsen_UK
dc.citation.issn1941-0034en_UK
dc.citation.issn1063-6706en_UK
dc.citation.volume26en_UK
dc.citation.issue2en_UK
dc.citation.spage1036en_UK
dc.citation.epage1039en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.author.emaillij@cs.stir.ac.uken_UK
dc.citation.date09/02/2017en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.contributor.affiliationDe Montfort Universityen_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.identifier.isiWOS:000428613500049en_UK
dc.identifier.scopusid2-s2.0-85045016206en_UK
dc.identifier.wtid884162en_UK
dc.contributor.orcid0000-0003-4685-2615en_UK
dc.date.accepted2017-01-18en_UK
dcterms.dateAccepted2017-01-18en_UK
dc.date.filedepositdate2017-03-23en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorLi, Jiawei|0000-0003-4685-2615en_UK
local.rioxx.authorJohn, Robert|en_UK
local.rioxx.authorCoupland, Simon|en_UK
local.rioxx.authorKendall, Graham|en_UK
local.rioxx.projectProject ID unknown|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.freetoreaddate2017-03-23en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2017-03-23|en_UK
local.rioxx.filenameFINAL_VERSION.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1941-0034en_UK
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