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Fuzzy exponentially weighted moving average control chart for univariate data with a real case application

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dc.contributor.authorSenturk, Sevil
dc.contributor.authorErginel, Nihal
dc.contributor.authorKaya, Ihsan
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2026-06-27T13:31:41Z
dc.date.issued2014
dc.description.abstractStatistical process control (SPC) is an approach to evaluate processes whether they are in statistical control or not. For this aim, control charts are generally used. Since sample data may include uncertainties coming from measurement systems and environmental conditions, fuzzy numbers and/or linguistic variables can be used to capture these uncertainties. In this paper, one of the most popular control charts, exponentially weighted moving average control chart (EWMA) for univariate data are developed under fuzzy environment. The fuzzy EWMA control charts (FEWMA) can be used for detecting small shifts in the data represented by fuzzy numbers. FEWMA decreases number of false decisions by providing flexibility on the control limits. The production process of plastic buttons is monitored with FEWMA in Turkey as a real application. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.asoc.2014.04.022
dc.identifier.doi10.1016/j.asoc.2014.04.022
dc.identifier.eissn1872-9681
dc.identifier.endpage10
dc.identifier.issn1568-4946
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53575
dc.identifier.volume22
dc.identifier.wos000338706600001
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofAPPLIED SOFT COMPUTING
dc.subjectStatistical process control
dc.subjectEWMA
dc.subjectFuzzy control charts
dc.subjectFuzzy EWMA
dc.subjectLINGUISTIC DATA
dc.subjectALPHA-CUTS
dc.subjectCONSTRUCTION
dc.subjectComputer Science
dc.titleFuzzy exponentially weighted moving average control chart for univariate data with a real case application
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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