Journal of Intelligent and Fuzzy Systems, ( ISI ), Volume (30), No (2), Year (2016-2) , Pages (1007-1017)

Title : ( Fuzzy multivariate process capability vector )

Authors: Zainab Abbasi Ganji , Bahram Sadeghpour Gildeh ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote


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 proposed by Shahriari and Abdollahzadeh (2009) and Taam et al. (1993). 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 examples are presented to illustrate the applicability of the proposed methods and we make a comparison between them.


, Multivariate normal distribuition, multivariate capability index, fuzzy logic, triangular fuzzy number, trapezoidal fuzzy quantity
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

author = {Abbasi Ganji, Zainab and Sadeghpour Gildeh, Bahram},
title = {Fuzzy multivariate process capability vector},
journal = {Journal of Intelligent and Fuzzy Systems},
year = {2016},
volume = {30},
number = {2},
month = {February},
issn = {1064-1246},
pages = {1007--1017},
numpages = {10},
keywords = {Multivariate normal distribuition; multivariate capability index; fuzzy logic; triangular fuzzy number; trapezoidal fuzzy quantity},


%0 Journal Article
%T Fuzzy multivariate process capability vector
%A Abbasi Ganji, Zainab
%A Sadeghpour Gildeh, Bahram
%J Journal of Intelligent and Fuzzy Systems
%@ 1064-1246
%D 2016