Open AccessSolving Fuzzy Attribute Quality Control Charts with proposed Ranking Function
Author(s) -
Esraa Dhafer Thamer,
Iden Hasan Hussein
Publication year - 2021
Publication title -
mağallaẗ ibn al-haytam li-l-ʻulūm al-ṣirfaẗ wa-al-taṭbīqiyyaẗ/ibn al-haitham journal for pure and applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2521-3407
pISSN - 1609-4042
DOI - 10.30526/34.2.2611
Subject(s) - ranking (information retrieval) , control chart , quality (philosophy) , data mining , fuzzy logic , control (management) , sample (material) , computer science , product (mathematics) , function (biology) , fuzzy number , statistical process control , mathematics , statistics , artificial intelligence , fuzzy set , process (computing) , philosophy , chemistry , geometry , epistemology , chromatography , evolutionary biology , biology , operating system
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.