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Generalized fuzzy soft expert set

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dc.citedby11
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorHazaymeh A.A.en_US
dc.contributor.authorAbdullah I.B.en_US
dc.contributor.authorBalkhi Z.T.en_US
dc.contributor.authorIbrahim R.I.en_US
dc.date.accessioned2024-05-29T01:54:36Z
dc.date.available2024-05-29T01:54:36Z
dc.date.issued2012
dc.description.abstractIn 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision-making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the soft expert set and the fuzzy set. In 2010 Majumdar and Samanta presented the concept of a generalized fuzzy soft sets. The purpose of this paper is to combine the work of Alkhazaleh and Salleh (2011) and Majumdar and Samanta (2010), from which we can obtain a new concept: generalized fuzzy soft expert sets (GFSESs). We also introduce its operations, namely, complement, union intersection, "AND" and "OR", and study their properties. The generalized fuzzy soft expert sets are used to analyze a decision-making problem. Also in our model the user can know the opinion of all experts in one model. In this work we also introduce the concept of a generalized fuzzy soft expert sets with multiopinions (four opinions), which will be more effective and useful. Finally, we give an application of this concept in decision-making problem. Copyright � 2012 Ayman A. Hazaymeh et al.
dc.description.natureFinal
dc.identifier.ArtNo328195
dc.identifier.doi10.1155/2012/328195
dc.identifier.issn1110757X
dc.identifier.scopus2-s2.0-84864934660
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84864934660&doi=10.1155%2f2012%2f328195&partnerID=40&md5=c690301fc61d2f93cbae32ac21ab2b2f
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9488
dc.identifier.volume2012
dc.languageEnglish
dc.language.isoen_USen_US
dc.relation.ispartofJournal of Applied Mathematics
dc.sourceScopus
dc.titleGeneralized fuzzy soft expert seten_US
dc.title.alternativeJ. Appl. Math.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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