id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_vw3k7kxkz5dxpm3xbsboiqxzza	Ying-Ming Wang	Fuzzy data envelopment analysis: A fuzzy expected value approach	2011	3	.pdf	application/pdf	2201	411	79	expected value approach'' for data envelopment analysis (DEA) in which fuzzy inputs and fuzzy outputs are first weighted, respectively, and their expected values then used to measure the optimistic and pessimistic efficiencies of decision making units (DMUs) in fuzzy environments. The proposed fuzzy expected value approach and its resultant models are illustrated with three numerical examples, including the selection of a flexible manufacturing system (FMS). fuzzy input and fuzzy output data into crisp data using membership function values and suggested a mathematical programming Lertworasirikul, Fang, Joines, and Nuttle (2003) proposed a possibility DEA model for fuzzy DEA. are trapezoidal fuzzy numbers, the possibility DEA model became a overcome these drawbacks, we propose in this paper a ''fuzzy expected value approach'' for fuzzy DEA, which first weights fuzzy inputs and fuzzy outputs, respectively, and then utilizes their 2. Fuzzy expected values and fuzzy DEA models where ~ur ¼ uLr; uMr ; uNr ; uUr	./cache/work_vw3k7kxkz5dxpm3xbsboiqxzza.pdf	./txt/work_vw3k7kxkz5dxpm3xbsboiqxzza.txt