2009
DOI: 10.1007/s11135-009-9244-9
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Constructing a fuzzy Shewhart control chart for variables when uncertainty and randomness are combined

Abstract: In this paper we introduce a fuzzy chart for variables which is used in situations when uncertainty and randomness are combined. It is showed that the Shewhart chart's control limits must be adjusted in these situations. However, this chart is based on a fuzzy acceptance region and this method arises when a decision should be made by referring to the grade of a sample statistic belonging to the fuzzy acceptance region.

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Cited by 20 publications
(10 citation statements)
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“…Therefore, an alternative to the existing chart is the use of a control chart using the fuzzy approach. A piece of detailed information about the fuzzy control charts can be seen in references [10][11][12][13][14][15][16] .…”
mentioning
confidence: 99%
“…Therefore, an alternative to the existing chart is the use of a control chart using the fuzzy approach. A piece of detailed information about the fuzzy control charts can be seen in references [10][11][12][13][14][15][16] .…”
mentioning
confidence: 99%
“…Faraz [19] proved the efficiency of the fuzzy-based Shewhart control chart. Faraz et al [20] 2. Preliminaries and the Proposed S 2 N − NEWMA Statistic Suppose n N [n L , n U ] be a neutrosophic random sample from the neutrosophic normal distribution…”
Section: Introductionmentioning
confidence: 99%
“…The traditional control chart based on the assumption that all observations should be determined cannot be applied for the process monitoring when some values are fuzzy. Several authors contributed in this area by designing a fuzzy control chart for various situations, see for example, [26][27][28][29][30][31][32][33][34]35]. More details can be seen in [36].…”
Section: Introductionmentioning
confidence: 99%