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Input congestion, technical ineciency and output reduction in fuzzy data envelopment analysis | ||
Theory of Approximation and Applications | ||
مقاله 6، دوره 6، شماره 2، اسفند 2012، صفحه 45-60 اصل مقاله (389.42 K) | ||
نوع مقاله: Research Articles | ||
نویسندگان | ||
M. khodabakhshi* ؛ N. Aryavash | ||
Department of Mathematics, Faculty of Science, Lorestan University, Khorram Abad, Iran. | ||
چکیده | ||
During the last years, the concept of input congestion and technical ineff- ciency in data envelopment analysis (DEA), have been investigated by many researchers. The motivation of this paper is to present models which obtain the decreased output value due to input congestion and technical ineciency. More- over, we extend the models to estimate input congestion, technical ineciency and output reduction in fuzzy data envelopment analysis, by using the concept of α-cut sets. | ||
مراجع | ||
[1] M. Asgharian, M. Khodabakhshi, L. Neralic, Congestion in stochastic data envelopment analysis: An input relaxation approach, International Journal of statistic and Management System, 5 (2010), 84{106. [2] R. D. Banker, A. Charnes, W. W. Cooper, Some models for estimating technical and scale ineciencies in data envelopment analysis, Management Science 30 (1984), 1078{1092. [3] A. Charnes, W. W. Cooper, E. Rhodes, Measuring the eciency of DMUs, European Journal of Operational Research 2 (1978), 429-444. [4] W. W. Cooper, R. G. Thompson, R. M. Thrall, Introduction: Extensions and new developments in DEA, Annals of Operations Research 66 (1996), 3{46. [5] W. W. Cooper, L. M. Seiford, J. Zhu, A unied additive model approach for evaluating ineciency and congestion with associated measures in DEA, Socio- Economic Planning Sciences 34 (2000), 1{25. [6] W. W. Cooper, H. Deng, B. Gu, Sh. Li, R. M. Thrall, Using DEA to improve the management of congestion in Chinese industries, Socio-Economic Planning Sciences 35 (2001), 227{242. [7] W. W. Cooper, B. Gu, Sh. Li, Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA, European Journal of Operational Research 132 (2001), 62{74. [8] W. W. Cooper, B. Gu, Sh. Li, Note: Alternative treatments of congestion in DEA-A response to the cherchye, Kuosmanen and Post critique, European Journal of Operational Research 132 (2001), 81{87. [9] W. W. Cooper , L. M. Seiford, J. Zhu. (2001). Slacks and congestion: Response to a comment by R. Fare and S. Grosskopf, Socio-Economic Planning Sciences 35 (2001) 205-215. [10] W. W. Cooper, H. Deng, Zh. M. Huang, S. X. Li A one-model approach to congestion in data envelopment analysis, Socio-Economic Planning Sciences 36 (2002), 231{238. [11] R. Fare, L. Svensson, Congestion of factors of production, Econometrica 48 (1980), 1743{1753. [12] R. Fare, S. Groskopf, Measuring congestion in production, Zeitschrift fur Na- tionalokonomie 43 (1983), 257-271. [13] R. Fare, S. Groossko, When can slacks be used to identify congestion? An answer to W. W. Cooper, L. Seiford and J. Zhu, Socio-Economic Planning Sciences 35 (2001), 217{221. [14] G. R. Jahanshahloo, M. Khodabakhshi, Suitable combination of inputs for improving outputs in DEA with determining input congestion-Considering textile industry of China, Applied Mathematics and Computation 151 (2004), 263{273. [15] G. R. Jahanshahloo, M. Khodabakhshi, Determining assurance interval for non- Archimedean element in the improving outputs model in DEA, Applied Mathe- matics and Computation 151 (2004), 501{506. [16] M. Khodabakhshi, A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA, Journal of Computational and Applied mathematics 230 (2009) ,443{450. [17] M. Khodabakhshi, Estimating most productive scale size with stochastic data in data envelopment analysis, Economic Modelling 26 (2009), 968-973. [18] M. Khodabakhshi, M. Asgharian, An input relaxation measure of eciency in stochastic data envelopment analysis, Applied Mathematical Modelling 33 (2009), 2010-2023. [19] M. S. Saadati, A. Memariani, Reducing weight exibility in fuzzy DEA, Applied Mathematicsand Computation 161 (2005), 611{622. [20] L. A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets System 1 (1978), 3{28. | ||
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