سیزدهمین کنفرانس آمار ایران , 2016-08-23

Title : ( Fuzzy multivariate process capability vector )

Authors: Bahram Sadeghpour Gildeh , Zainab Abbasi Ganji ,

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Abstract

Process capability indices are numerical measures used to determine whether the process products meet the quality requirement dedicated by the customers and producers or not. When the products ′ quality counts on two or more correlated characteristics, multivariate process capability indices are applied. In this paper, we focus on two indices. The traditional multivariate capability indices can’t be applied if the specification limits and target value of each characteristic are presented in a linguistic form. Instead, the fuzzy set theory is used to deal with these circumstances. Here, the fuzzy formulations of the indices are developed. Furthermore, numerical example is presented to illustrate the applicability of the proposed methods and we make a comparison between them.

Keywords

, Multivariate normal distribution, Multivariate capability index, Fuzzy logic, Triangular fuzzy number.
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@inproceedings{paperid:1060711,
author = {Sadeghpour Gildeh, Bahram and Abbasi Ganji, Zainab},
title = {Fuzzy multivariate process capability vector},
booktitle = {سیزدهمین کنفرانس آمار ایران},
year = {2016},
location = {کرمان, IRAN},
keywords = {Multivariate normal distribution; Multivariate capability index; Fuzzy logic; Triangular fuzzy number.},
}

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%0 Conference Proceedings
%T Fuzzy multivariate process capability vector
%A Sadeghpour Gildeh, Bahram
%A Abbasi Ganji, Zainab
%J سیزدهمین کنفرانس آمار ایران
%D 2016

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