Rodyti trumpą aprašą

dc.contributor.authorŞenturk, Sevil
dc.contributor.authorAntuchevičienė, Jurgita
dc.date.accessioned2023-09-18T16:47:56Z
dc.date.available2023-09-18T16:47:56Z
dc.date.issued2017
dc.identifier.issn0868-4952
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116967
dc.description.abstractMany papers exist on ordinary fuzzy control charts in literature in order to consider the vagueness and uncertainty in observation data. These are on both variable and attribute control charts. Several extensions of fuzzy sets have appeared in literature since ordinary fuzzy sets emerged. Type-2 fuzzy sets are one of these extensions. Type-2 fuzzy sets take into account the imprecision of membership functions in three dimensions. The aim of this paper is to develop interval type-2 fuzzy control charts for number of nonconformities, briefly c-control charts. In this paper, the theoretical structure of interval type-2 fuzzy c-control charts is proposed for the first time and the application is implemented in a food company.eng
dc.formatPDF
dc.format.extentp. 269-283
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://dx.doi.org/10.15388/Informatica.2017.129
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleInterval type-2 fuzzy c-control charts: an application in a food company
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references35
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionAnadolu University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enFuzzy control charts
dc.subject.enInterval type-2 fuzzy sets
dc.subject.enC-control charts
dc.subject.enNonconformity
dc.subject.enProcess control
dcterms.sourcetitleInformatica
dc.description.issueno. 2
dc.description.volumeVol. 28
dc.publisher.nameVilniaus universiteto Matematikos ir informatikos institutas
dc.publisher.cityVilnius
dc.identifier.doi000405641900003
dc.identifier.doi2-s2.0-85031702071
dc.identifier.doi10.15388/Informatica.2017.129
dc.identifier.elaba23088536


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