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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4493 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4493 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/4493 archive 351 disk0/00/00/55/95 2016-01-15 02:10:17 2021-08-27 17:16:27 2016-01-15 02:10:17 monograph show 2 Halme M. Joro T. 7680 Korhonen P. 7606 Salo S. AL1178 Wallenius J. pub iis_met iis_sys prog_das We develop a procedure and the requisite theory for incorporating preference information in a novel way in the efficiency analysis of Decision Making Units. The efficiency of Decision Making Units is defined in the spirit of Data Envelopment Analysis (DEA), complemented with Decision Maker's preference information concerning the desirable structure of inputs and outputs. Our procedure begins by aiding the Decision Maker in searching for the most preferred combination of inputs and outputs of Decision Making Units (for short, Most Preferred Solution) which are efficient in DEA. Then, assuming that the Decision Maker's Most Preferred Solution maximizes his/her underlying (unknown) value function at the moment when the search is terminated, we approximate the indifference contour of the value function at this point with its possible tangent hyperplanes. Value Efficiency scores are then calculated for each Decision Making Unit comparing the inefficient units to units having the same value as the Most Preferred Solution. The resulting Value Efficiency scores are optimistic approximations of the true scores. The procedure and the resulting efficiency scores are immediately applicable to solving practical problems. 1998-08 published IR-98-054 IR-98-054 1350 2062 2352 public interim_report IIASA, Laxenburg, Austria 29 FALSE info:eu-repo/semantics/book