A CREDIBILITY METHOD TO FUZZY GENERALIZED DATA ENVELOPMENT ANALYSIS
Data envelopment analysis (DEA) is an effective technique for measuring the relative efficiency of a set of homogeneous decision-making units (DMUs). The generalized data envelopment analysis (GDEA) model, which contains four basic DEA models, is an important DEA model. When calculating the efficiency of each DMU, the GDEA model requires crisp input and output data, which are often difficult to obtain in real-world problems. In this paper, we will employ the credibility theory and chance-constrained programming to evaluate the efficiency of each DMU in fuzzy CDEA (FCDEA) model. We first introduce the credibility GDEA (CGDEA) model, and then discuss its crisp equivalent form in some special cases. At last, a numerical experiment is given to illustrate the efficiency of the CGDEA model.
Generalized data envelopment analysis Relative efficiency Decision-making units Credibility theory
RUI QIN YAN-KUI LIU
College of Mathematics and Computer Science, Hebei University, Baoding 071002, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1052-1058
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）