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dc.contributor.authorŞentürk, Sevil
dc.contributor.authorErginel, N.
dc.description37th International Conference on Computers and Industrial Engineering 2007 -- 20 October 2007 through 23 October 2007 -- Alexandria -- 100138en_US
dc.description.abstractIn traditional variable control charts, center line, upper control limit and lower control limit are crisp values. In this situation, process are defined "in control" or "out of control" with depending on observation values because of the inflexible control limits. In many problems, control limits couldn't be so precise. Fuzzy set theory is inevitable tool for this uncertainty. Crisp control limits can be transformed to the fuzzy control limits by using membership functions. If one observation is too close to the control limits and the decision is given for process as "in control" or "out of control" according to this observation, related decision could be false. Fuzzy control limits provide more accurate evaluation for process. This study presents a framework fuzzy variable control charts that are fuzzy X and fuzzy R by the use of a-cut with numerical example. In this way, flexibility of control limits is achieved with fuzzy set theory.en_US
dc.subject?-Cuts Fuzzy R Control Charten_US
dc.subject?-Cuts Fuzzy Variable Control Chartsen_US
dc.subject?-Cuts Fuzzy X Control Charten_US
dc.subject?-Level Fuzzy Midrangeen_US
dc.subjectFuzzy Variable Control Chartsen_US
dc.titleA framework for fuzzy variable control charts with ?-cutsen_US
dc.relation.journal37th International Conference on Computers and Industrial Engineering 2007en_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US

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