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dc.contributor.authorAtalik G.
dc.contributor.authorŞentürk S.
dc.contributor.authorTürkşen O.
dc.contributor.authorErginel N.
dc.date.accessioned2024-03-12T19:38:19Z
dc.date.available2024-03-12T19:38:19Z
dc.date.issued2021
dc.identifier.issn15423980
dc.identifier.urihttps://hdl.handle.net/20.500.12450/3050
dc.description.abstractUnder vague and imprecise environment, data analysis methods are usually integrated with the fuzzy set theory. Intuitionistic methods sets are the extension of ordinary fuzzy sets whose aim is to incorporate the hesitancy of experts into their model. In this paper, novel intuitionistic fuzzy parametric approaches to statistical hypotheses testing for the population mean based on intuitionistic fuzzy data and intuitionistic fuzzy hypotheses are presented. First, bootstrap method is applied and then intuitionistic fuzzy test statistics is obtained. Applications of one sided and two sided hypotheses are provided. © 2021 Old City Publishing, Inc.en_US
dc.language.isoengen_US
dc.publisherOld City Publishingen_US
dc.relation.ispartofJournal of Multiple-Valued Logic and Soft Computingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBootstrap methoden_US
dc.subjectIntuitionistic fuzzy hypothesisen_US
dc.subjectIntuitionistic fuzzy numberen_US
dc.subjectPopulation meanen_US
dc.subjectFuzzy setsen_US
dc.subjectPopulation statisticsen_US
dc.subjectStatistical testsen_US
dc.subjectBootstrap methoden_US
dc.subjectData analysis methodsen_US
dc.subjectFuzzy dataen_US
dc.subjectIntuitionistic fuzzyen_US
dc.subjectParametric approachen_US
dc.subjectStatistical hypotheses testingen_US
dc.subjectFuzzy set theoryen_US
dc.titleIntuitionistic fuzzy hypothesis testing with fuzzy dataen_US
dc.typearticleen_US
dc.departmentAmasya Üniversitesien_US
dc.identifier.volume36en_US
dc.identifier.issue6en_US
dc.identifier.startpage527en_US
dc.identifier.endpage542en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85108325547en_US
dc.department-tempAtalik, G., Department of Statistics, Amasya University, Turkey; Şentürk, S., Department of Statistics, Eskisehir Technical University, Turkey; Türkşen, O., Department of Statistics, Ankara University, Turkey; Erginel, N., Department of Industrial Engineering, Eskisehir Technical University, Turkeyen_US
dc.authorscopusid57200637439
dc.authorscopusid25631133000
dc.authorscopusid35504139300
dc.authorscopusid24437561300


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