Z-fuzzy hypothesis testing in statistical decision making

dc.contributor.authorHaktanır, Elif
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2021-05-15T12:41:19Z
dc.date.available2021-05-15T12:41:19Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionkahraman, cengiz/0000-0001-6168-8185; Haktanir, Elif/0000-0002-3341-4360
dc.description.abstractHypothesis tests are a statistical decision-making tool for testing if a hypothesized parameter value is supported by the sample data or not. Vagueness and impreciseness in the sample data require fuzzy techniques to be employed in the analysis. These techniques can be based on intuitionistic fuzzy sets, hesitant fuzzy sets, type-2 fuzzy sets, neutrosophic sets, or spherical fuzzy sets. In this paper, Z-fuzzy numbers are used to capture the vagueness in the sample data and develop Z-fuzzy hypothesis testing. A Z-fuzzy number is represented by a restriction function that is usually a triangular or trapezoidal fuzzy number and a reliability function representing the confidence level to the restriction function. Illustrative examples for left and right sided hypothesis testing and sensitivity analyses are presented.en_US
dc.identifier.doi10.3233/JIFS-182700
dc.identifier.endpage6555en_US
dc.identifier.issn1064-1246
dc.identifier.issn1875-8967
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85075881350
dc.identifier.scopusqualityQ1
dc.identifier.startpage6545en_US
dc.identifier.urihttps://doi.org/10.3233/JIFS-182700
dc.identifier.urihttps://hdl.handle.net/20.500.12939/785
dc.identifier.volume37en_US
dc.identifier.wosWOS:000498834900069
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHaktanır, Elif
dc.language.isoen
dc.publisherIos Pressen_US
dc.relation.ispartofJournal of Intelligent & Fuzzy Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectZ-Fuzzy Numberen_US
dc.subjectHypothesis Testingen_US
dc.subjectStatistical Decision Makingen_US
dc.subjectRestriction Functionen_US
dc.subjectReliability Functionen_US
dc.titleZ-fuzzy hypothesis testing in statistical decision making
dc.typeArticle

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