id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_rqoiakpfrbfbvc3r66rojuqd7q	I.B. Turksen	An expert system prototype for inventory capacity planning: An approximate reasoning approach	1991	28	.pdf	application/pdf	11927	1467	85	Such concerns lead us to suggest the development o f expert system prototypes via an approximate reasoning framework based on fuzzy logic but Domain experts (for this discussion, stochastic model builders) provide such rules during the knowledge acquisition phase, where A~, meaning o f these linguistic terms by specifying their membership values meaning o f these linguistic terms by specifying their membership values membership values obtained from domain experts and their logical combinations usually turn out to be " i n t e r v a l v a l u e d " in most measurement experiments (Turksen [ 4 6 ] , Chameau and Santamarina [7]). point-valued membership functions obtained from experts (the stochastic model A different case is the fuzzy set o f Very High for the service level, as shown Approximate reasoning with linguistic variables and their terms provides 	./cache/work_rqoiakpfrbfbvc3r66rojuqd7q.pdf	./txt/work_rqoiakpfrbfbvc3r66rojuqd7q.txt