全球智库信息集成服务系统(G2TT): A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1287/mnsc.45.1.103
	A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis.
	Halme M; Joro T; Korhonen P; Salo S; Wallenius J
发表日期	1999
出处	Management Science 45 (1): 103-115
出版年	1999
语种	英语
摘要	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, 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. Copyright © 1999, Institute for Operations Research and the Management Sciences.
关键词	Data Envelopment Analysis Efficiency Analysis Multiple Criteria Decision Making Value Function
URL	http://pure.iiasa.ac.at/id/eprint/13576/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/127786
推荐引用方式 GB/T 7714	Halme M,Joro T,Korhonen P,et al. A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis.. 1999.