Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10185
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDespi, Ioanen
dc.contributor.authorSong, Gu Yinen
dc.contributor.authorChakrabarty, Kankanaen
local.source.editorEditor(s): Yongsheng Ding, Yongmin Li, Zhun Fan, Shaoyuan Li, Lipo Wangen
dc.date.accessioned2012-05-17T16:53:00Z-
dc.date.issued2011-
dc.identifier.citationProceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), v.1, p. 593-597en
dc.identifier.isbn9781612841816en
dc.identifier.urihttps://hdl.handle.net/1959.11/10185-
dc.description.abstractWhen modeling complex systems, conventional methodologies are recognized to be limited. Because of their fuzzy feedback structure of causality, Fuzzy Cognitive Maps (FCMs) have been seen as a promising alternative in multiple domains as a support for decision making and systems modeling. In an attempt to improve this framework, we extend it by considering both determinacy and indeterminacy of experts when assigning weights to causal relations between concepts such that a new initutionistic fuzzy method for constructing FCMs is considered. The proposed method largely improves the accuracy of evaluating weights of edges in the FCM models and avoids subjectiveness and indeterminacy while experts are designing the models.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)en
dc.titleA New Intuitionitic Fuzzy Cognitive Maps Building Methoden
dc.typeConference Publicationen
dc.relation.conferenceFSKD 2011: Eighth International Conference on Fuzzy Systems and Knowledge Discoveryen
dc.identifier.doi10.1109/FSKD.2011.6019596en
dc.subject.keywordsComputation Theory and Mathematicsen
local.contributor.firstnameIoanen
local.contributor.firstnameGu Yinen
local.contributor.firstnameKankanaen
local.subject.for2008080299 Computation Theory and Mathematics not elsewhere classifieden
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.profile.schoolComputer Scienceen
local.profile.schoolComputer Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailidespi@une.edu.auen
local.profile.emailgsong@une.edu.auen
local.profile.emailkchakrab@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20110812-111439en
local.date.conference26th - 28th July, 2011en
local.conference.placeShanghai, Chinaen
local.publisher.placeLos Alamitos, United States of Americaen
local.format.startpage593en
local.format.endpage597en
local.identifier.scopusid80053403618en
local.peerreviewedYesen
local.identifier.volume1en
local.contributor.lastnameDespien
local.contributor.lastnameSongen
local.contributor.lastnameChakrabartyen
dc.identifier.staffune-id:idespien
dc.identifier.staffune-id:gsongen
dc.identifier.staffune-id:kchakraben
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:10378en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA New Intuitionitic Fuzzy Cognitive Maps Building Methoden
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsFSKD 2011: Eighth International Conference on Fuzzy Systems and Knowledge Discovery, Shanghai, China, 26th - 28th July, 2011en
local.search.authorDespi, Ioanen
local.search.authorSong, Gu Yinen
local.search.authorChakrabarty, Kankanaen
local.uneassociationUnknownen
local.year.published2011en
local.date.start2011-07-26-
local.date.end2011-07-28-
Appears in Collections:Conference Publication
Files in This Item:
3 files
File Description SizeFormat 
Show simple item record

Page view(s)

984
checked on Mar 9, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.