Two-Stage DEA with Fuzzy Data
Abstract
Data envelopment analysis is a nonparametric method evaluating efficiency of DMUs using mathematical programming. In most standard DEA models, the status of each measure is clearly known as either input or output. Kao and Hwang (2008) introduce a DEA approach for evaluating the efficiency of DMUs with two stages. The first stage uses inputs to produce outputs which become the inputs to the second stage. The first stage outputs named as intermediate measures. The second stage then uses these intermediate measures to produce outputs. In the standard DEA models all the data are crisp but there are many problems in the real life that can be uncertain. Thus, in this paper, two-stage fuzzy DEA model with a symmetrical triangular fuzzy number is presented. The basic idea is to change the fuzzy model into crisp linear programming by using approach. Finally, a numerical example is presented to highlight the application of this method.
Keywords
Full Text:
PDFReferences
C. Kao, S.N. Hwang, Efficiency decomposition in two-stage data envelopment analysis: an application on life insurance companies in Taiwan, Eur. J. Oper. Res. 185 (1) (2008) 418–429.
Charnes, A., W.W. Cooper, E. Rhodes, Measuring the efficiency of decision making units, European Journal of Operational Research, 2 (1978),429-444.
S. Saati M, A. Memariani, G. R. Jahanshahloo, Efficiency Analysis and Ranking of DMUs with Fuzzy Data, Fuzzy Optimization and Decision Making, 1 (2002), 255-267.
Y. Chen, W. D. Cook, N. Li, J. Zhu, Additive efficiency decomposition in two-stage DEA, European Journal of Operational Research, 196 (2009) 1170–1176.
M. Tavana,K. Khalili-Damghani, A new two-stage Stackelberg fuzzy data envelopment analysis model, Measurement 53 (2014) 277–296.
Z. G. Beigi, K. Gholami, Allocating the Fuzzy Resources to Two-Stage Systems, Journal of Soft Computing and Applications 2014 (2014) 1-11.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.