id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iajs-2611	Thamer, Esraa Dhafer; Hussein, Iden Hasan	Solving Fuzzy Attribute Quality Control Charts with proposed Ranking Function	2021	9	.pdf	application/pdf	3199	137	64	Sci. 34 (2) 2021 accurately and quickly, the results showed that fuzzy control chart are more accurate and economically faster in controlling the quality of production, leading to the detection of defective units during the production process, which helps to detect error quickly. M.Gulbayand C.Kahraman(2006),the direct fuzzy approach to fuzzy control charts without any distrotion, and fuzzy abnormal pattern rules based on the probabilities of fuzzy events is proposed[7].	cache/iajs-2611.pdf	txt/iajs-2611.txt