A novel hesitant fuzzy linguistic term sets approach and its application on acceptance sampling plans

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dc.authorid0000-0002-5297-3109en_US
dc.contributor.authorIşık, Gürkan
dc.contributor.authorKaya, I.
dc.date.accessioned2024-06-12T12:06:52Z
dc.date.available2024-06-12T12:06:52Z
dc.date.issued2022en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractHesitant fuzzy linguistic term set (HFLTS) is an approach giving ability to obtain more flexible decision-making (DM) process by integrating linguistic fuzzy modeling (LFM) with hesitative expert judgments. Although HFLTS is widely -studied in the literature and many enhancements are made on HFLTS procedure, none of these enhancements gives ability to continue with precise fuzzy modeling (PFM) in decision process. LFM has a big drawback about accuracy because of the dependency between the size of term set and the comprehensiveness of fuzzy sets (FSs). This issue creates a very critical difficulty in modeling of DM problems that need sensitive evaluations by using HFLTS. This paper aims to solve this problem by proposing a novel HFLTS methodology that is usable for DM problems that need sensitive calculations in the decision stage. The proposed methodology integrates 2-tuple LFM and linguistic fuzzy modifiers with HFLTS to overcome the accuracy problem and obtain more sensitive and flexible decision procedure. This paper also presents an envelopment transformation technique to aggregate expert assessments as a fuzzy membership function instead of membership grades. It becomes possible to keep interpretability in a certain level and achieve sensitive results at the same time with the help of these modifications. The proposed HFLTS approach is analyzed on a real case example from manufacturing industry for acceptance sampling plans (ASP) that is a DM problem requiring sensitive calculations. As another originality of the paper, the main formulations of ASP are derived based on hesitant fuzzy defectiveness information. The obtained results are also compared with some existing enhancements of the HFLTS and the success of the proposed methodology is proved in terms of sensitive calculation.en_US
dc.identifier.doi10.22111/IJFS.2022.7219en_US
dc.identifier.endpage192en_US
dc.identifier.issn1735-0654
dc.identifier.issn2676-4334
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage175en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2261
dc.identifier.volume19en_US
dc.identifier.wosWOS:000885481900012
dc.identifier.wosqualityQ2
dc.institutionauthorIşık, Gürkan
dc.language.isoen
dc.publisherUNIV SISTAN & BALUCHESTANen_US
dc.relation.ispartofIRANIAN JOURNAL OF FUZZY SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHesitant fuzzy setsen_US
dc.subjectlinguistic term sets2en_US
dc.subject-tuple linguistic statementsen_US
dc.subjectlinguistic fuzzy modifiersen_US
dc.subjectacceptance sampling plansen_US
dc.titleA novel hesitant fuzzy linguistic term sets approach and its application on acceptance sampling plansen_US
dc.typearticleen_US

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