Dergi makalesi Açık Erişim
Turksen, I. Burhan; Khaniyev, Tahir; Gokpinar, Fikri
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/82275</identifier> <creators> <creator> <creatorName>Turksen, I. Burhan</creatorName> <givenName>I. Burhan</givenName> <familyName>Turksen</familyName> </creator> <creator> <creatorName>Khaniyev, Tahir</creatorName> <givenName>Tahir</givenName> <familyName>Khaniyev</familyName> </creator> <creator> <creatorName>Gokpinar, Fikri</creatorName> <givenName>Fikri</givenName> <familyName>Gokpinar</familyName> <affiliation>Gazi Univ, Dept Stat, Ankara, Turkey</affiliation> </creator> </creators> <titles> <title>Investigation Of Fuzzy Inventory Model Of Type (S, S) With Nakagami Distributed Demands</title> </titles> <publisher>Aperta</publisher> <publicationYear>2015</publicationYear> <dates> <date dateType="Issued">2015-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/82275</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3233/IFS-141309</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">In this study, a fuzzy inventory model of type (s, S) is considered under Nakagami distribution of demands. We first obtain the membership function of the fuzzy renewal function when the amount of demand has Nakagami distribution with a fuzzy spread parameter. By using fuzzy renewal function, we obtain the fuzzy ergodic distribution of this process. Also some numerical results are obtained with the use of this membership function.</description> </descriptions> </resource>
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