On the multivariate process capability vector in fuzzy environment
Publish place: Iranian Journal of Fuzzy Systems، Vol: 13، Issue: 5
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
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JR_IJFS-13-5_009
تاریخ نمایه سازی: 24 خرداد 1401
Abstract:
The production of a process is expected to meet customer demands, specifications or engineering tolerances. The ability of a process to meet these expectations is expresed as a single number using a process capability index. When the quality of the products relates to more than one characteristic, multivariate process capability indices are applied. As it is known, in some circumstances we are faced with imprecise data. So, fuzzy logic is engaged to deal with them. In this article, the specification limits and the target value of each characteristic and also, the data gathered from the process are assumed to be imprecise and a new fuzzy multivariate capability vector is introduced. As a whole, the present article provides a research of the application of fuzzy logic in multivariate capability vector.
Keywords:
Multivariate normal distribution , Multivariate process capability vector , Fuzzy logic , Triangular fuzzy matrix , Fuzzy linear equation system , Ranking function
Authors
Zainab Abbasi Ganji
Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Bahram Sadeghpour Gildeh
Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
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