On the nearest parametric approximation of a fuzzy number

dc.contributor.author Efendi N. Nasibov
dc.contributor.author Sinem Peker
dc.contributor.author Nasibov, Efendi N.
dc.contributor.author Peker, Sinem
dc.date JUN 1
dc.date.accessioned 2025-10-06T16:21:15Z
dc.date.issued 2008
dc.description.abstract Many 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 minimization of the distance between the original fuzzy set and it approximation But these approximations mostly are not flexible to the decision maker's choice. Hence in this paper we offer a parametric fuzzy approximation method based on the decision maker's strategy as an extension of trapezoidal approximation of a fuzzy number. This method comprises the selection of the form of the parametric membership function and its evaluation. (c) 2007 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.fss.2007.08.005
dc.identifier.issn 0165-0114
dc.identifier.scopus 2-s2.0-41549117955
dc.identifier.uri http://dx.doi.org/10.1016/j.fss.2007.08.005
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6793
dc.identifier.uri https://doi.org/10.1016/j.fss.2007.08.005
dc.language.iso English
dc.publisher ELSEVIER SCIENCE BV
dc.relation.ispartof Fuzzy Sets and Systems
dc.rights info:eu-repo/semantics/closedAccess
dc.source FUZZY SETS AND SYSTEMS
dc.subject fuzzy number, defuzzification, fuzzy distance, nearest approximation
dc.subject MEAN-VALUE, DEFUZZIFICATION, AGGREGATION, QUANTITY
dc.subject Defuzzification
dc.subject Nearest Approximation
dc.subject Fuzzy Distance
dc.subject Fuzzy Number
dc.title On the nearest parametric approximation of a fuzzy number
dc.type Article
dspace.entity.type Publication
gdc.author.id Nasibov, Efendi/0000-0002-1889-6410
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gdc.author.wosid Nasibov, Efendi/ISV-0173-2023
gdc.author.wosid Kara Peker, Sinem/AAT-1543-2020
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gdc.description.department
gdc.description.departmenttemp [Nasibov, Efendi N.] Dokuz Eylul Univ, Fac Arts & Sci, Dept Stat, TR-35160 Izmir, Turkey; [Peker, Sinem] Yasar Univ, Fac Sci & Letters, Dept Stat, TR-35500 Izmir, Turkey
gdc.description.endpage 1375
gdc.description.issue 11
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 1365
gdc.description.volume 159
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W2088918677
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gdc.oaire.keywords fuzzy number
gdc.oaire.keywords defuzzification
gdc.oaire.keywords nearest approximation
gdc.oaire.keywords fuzzy distance
gdc.oaire.keywords Theory of fuzzy sets, etc.
gdc.oaire.keywords Reasoning under uncertainty in the context of artificial intelligence
gdc.oaire.keywords Decision theory
gdc.oaire.popularity 1.1379957E-8
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 58
gdc.plumx.crossrefcites 39
gdc.plumx.mendeley 11
gdc.plumx.scopuscites 67
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gdc.virtual.author Peker, Sinem
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oaire.citation.endPage 1375
oaire.citation.startPage 1365
person.identifier.orcid NASIBOGLU- EFENDI/0000-0002-7273-1473, Nasibov- Efendi/0000-0002-1889-6410
publicationissue.issueNumber 11
publicationvolume.volumeNumber 159
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