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dc.contributor.authorNasibov, E.N.
dc.contributor.authorPeker, S.
dc.date.accessioned2021-01-25T20:52:03Z
dc.date.available2021-01-25T20:52:03Z
dc.date.issued2008
dc.identifier10.1016/j.fss.2007.08.005
dc.identifier.issn01650114
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-41549117955&doi=10.1016%2fj.fss.2007.08.005&partnerID=40&md5=2d7e94d5e44bb3f9ebc2519aa7a92747
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10742
dc.description.abstractMany nearest parametric approximation methods of fuzzy sets are proposed in the literature. It is clear that the specific approximations may lead to the loss of information about fuzziness. To overcome this problem, most of these methods rely on the minim
dc.language.isoEnglish
dc.publisherFuzzy Sets and Systems
dc.titleOn the nearest parametric approximation of a fuzzy number
dc.typeArticle
dc.relation.firstpage1365
dc.relation.lastpage1375
dc.relation.volume159
dc.relation.issue11
dc.description.affiliationsDepartment of Statistics, Faculty of Arts and Sciences, Dokuz Eylul University, Tinaztepe, 35160 Buca, Izmir, Turkey; Department of Statistics, Faculty of Science and Letters, Yasar University, Dyo Campus, 35500 Bornova, Izmir, Turkey


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