期刊
FUZZY SETS AND SYSTEMS
卷 113, 期 3, 页码 427-437出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0165-0114(98)00137-7
关键词
data envelopment analysis; efficiency; membership functions; parametric programming
The existing data envelopment analysis (DEA) models for measuring the relative efficiencies of a set of decision making units (DMUs) using various inputs to produce various outputs are limited to crisp data. To deal with imprecise data, the notion of fuzziness has been introduced. This paper develops a procedure to measure the efficiencies of DMUs with fuzzy observations. The basic idea is to transform a fuzzy DEA model to a family of conventional crisp DEA models by applying the a-cut approach. A pair of parametric programs is formulated to describe that family of crisp DEA models, via which the membership functions of the efficiency measures are derived. Since the efficiency measures are expressed by membership functions rather than by crisp values, more information is provided for management. By extending to fuzzy environment, the DEA approach is made more powerful for applications. (C) 2000 Elsevier Science B.V. All rights reserved.
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