Olving fuzzy attribute quality control charts with proposed ranking function

The attribute quality control charts are one of the main useful tools to use in control of quality product in companies. In this paper utilizing the statistical procedures to find the attribute quality control charts for through fuzzified the real data which we got it from Baghdad Soft Drink Company...

Full description

Saved in:
Bibliographic Details
Published in:Ibn Al-Haitham Journal for Pure and Applied Sciences Vol. 34; no. 2; pp. 33 - 41
Main Authors: Thami, Israa Zafir, Husayn, Idin Hasan
Format: Journal Article
Language:English
Published: بغداد، العراق جامعة بغداد، كلية التربية ابن الهيثم 2021
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The attribute quality control charts are one of the main useful tools to use in control of quality product in companies. In this paper utilizing the statistical procedures to find the attribute quality control charts for through fuzzified the real data which we got it from Baghdad Soft Drink Company in Iraq, by using triangular membership function to obtain the fuzzy numbers then employing the proposed ranking function to transform to traditional sample. Then, compare between crisp and fuzzy attribute quality The attribute quality control charts are one of the main useful tools to use in control of quality product in companies. In this paper utilizing the statistical procedures to find the attribute quality control charts for through fuzzified the real data which we got it from Baghdad Soft Drink Company in Iraq, by using triangular membership function to obtain the fuzzy numbers then employing the proposed ranking function to transform to traditional sample. Then, compare between crisp and fuzzy attribute quality control.
ISSN:1609-4042
2521-3407
DOI:10.30526/34.2.2611