存在保证域的模糊非径向偏好DEA模型——基于中科院24个研究所的实证分析

Abstract

Abstract: Data Envelopment Analysis (DEA) is a non-parametric approach for performance assessment of a set of homogeneous Decision Making Units (DMUs), which use similar inputs to produce similar outputs. Crisp data are commonly used in non-radial DEA models. However, inputs and outputs have been observed imprecise in many applications. At the same time, multipliers must be maintained at given levels for the production mechanism to work in reality. In this paper, a fuzzy non-radial DEA/PS model is proposed, which can deal with fuzzy data and decision maker's preference. The lower and upper bounds of fuzzy efficiency scores at different levels are determined based on α cuts. The proposed model and algorithm are used to evaluate the performance of 24 institutes of Chinese Academy of Sciences in the end.

Key words: fuzzy DEA, non-radial DEA, preference structure, assurance regions, α-cut

CLC Number:

C934

ZHOU Zhong-bao, SUN Liang, LIU De-bin, MA Chao-qun, Liu Wen-bin. Fuzzy Non-radial DEA/PS Model with Assurance Regions——an Empirical Analysis based on 24 Institutes of CAS[J]. Chinese Journal of Management Science, 2014, 22(2): 75-84.

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Fuzzy Non-radial DEA/PS Model with Assurance Regions——an Empirical Analysis based on 24 Institutes of CAS

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