Title : ( A new method for constructing confidence interval for Cpm based on fuzzy data )
Authors: Bahram Sadeghpour Gildeh , Samaneh Asghari ,
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Abstract
A measurement control system ensures that measuring equipment and measurement processes are fit for their intended use and its importance in achieving product quality objectives. In most real life applications, the observations are fuzzy. In some cases specification limits (SLs) are not precise numbers and they are expressed in fuzzy terms, so that the classical capability indices could not be applied. In this paper we obtain 100(1 − α)% fuzzy confidence interval for C̃pm fuzzy process capability index, where instead of precise quality we have two membership functions for specification limits.
Keywords
, Dp, q-distance; Fuzzy set; Membership function; Process capability index; Triangular fuzzy number; Fuzzy random variable.
@article{paperid:1033559,
author = {Sadeghpour Gildeh, Bahram and Samaneh Asghari},
title = {A new method for constructing confidence interval for Cpm based on fuzzy data},
journal = {International Journal for Quality Research},
year = {2011},
volume = {5},
number = {2},
month = {January},
issn = {1800-6450},
pages = {67--73},
numpages = {6},
keywords = {Dp;q-distance; Fuzzy set; Membership function; Process capability index; Triangular fuzzy number; Fuzzy random variable.},
}
%0 Journal Article
%T A new method for constructing confidence interval for Cpm based on fuzzy data
%A Sadeghpour Gildeh, Bahram
%A Samaneh Asghari
%J International Journal for Quality Research
%@ 1800-6450
%D 2011
