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Information Journal Paper

Title

CONSTRUCTS A FUZZY STATISTICAL CONTROL CHART

Pages

  45-54

Abstract

 The two most significant sources of uncertainty are randomness and incomplete information. In real systems, we wish to monitor processes in the presence of these two kinds of uncertainty. This paper aims to construct a FUZZY STATISTICAL CONTROL chart that can explain existing fuzziness in data while considering the essential variability between observations. The proposed CONTROL chart avoids defuzzification methods such as fuzzy mean, fuzzy mode, fuzzy midrange, and fuzzy median. The out-of-control states are determined based on a fuzzy in-control region and a simple and precise graded exclusion measure that determines the degree to which fuzzy subgroups are excluded from the fuzzy in-control region. The proposed chart is illustrated with a numerical example.

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  • Cite

    APA: Copy

    FARAZ, A.R.. (2011). CONSTRUCTS A FUZZY STATISTICAL CONTROL CHART. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 2(2 (29)), 45-54. SID. https://sid.ir/paper/164742/en

    Vancouver: Copy

    FARAZ A.R.. CONSTRUCTS A FUZZY STATISTICAL CONTROL CHART. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2011;2(2 (29)):45-54. Available from: https://sid.ir/paper/164742/en

    IEEE: Copy

    A.R. FARAZ, “CONSTRUCTS A FUZZY STATISTICAL CONTROL CHART,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 2, no. 2 (29), pp. 45–54, 2011, [Online]. Available: https://sid.ir/paper/164742/en

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