caa a22 4500 605468958 CHVBK 20210128100319.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00500-014-1385-7 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1385-7 Sensitivity and stability analysis of the additive model in uncertain data envelopment analysis [Elektronische Daten] [Meilin Wen, Zhongfeng Qin, Rui Kang, Yi Yang] DEA is a non-parametric productive efficiency measurement method for operations with multiple inputs and multiple outputs. An issue which has received widespread attention in rapidly growing field of DEA is the sensitivity and stability of the evaluating results to perturbations in the data. Due to the uncertainty of the data in real life, this paper will perform a sensitivity and stability analysis of the additive model with uncertain inputs and output. Some theories of the uncertain DEA model based on uncertainty theory will be given. It is followed by some computation methods of the stable regions to the efficient and inefficient DMUs. Finally, a numerical example will be presented to give an illustration of the sensitivity and stability analysis. Springer-Verlag Berlin Heidelberg, 2014 Data envelopment analysis nationallicence Uncertain measure nationallicence Uncertainty distribution nationallicence Efficiency nationallicence Sensitivity nationallicence Stability nationallicence Wen Meilin Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut Qin Zhongfeng School of Economics and Management Science, Beihang University, 100191, Beijing, China aut Kang Rui Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut Yang Yi Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut Soft Computing Springer Berlin Heidelberg 19/7(2015-07-01), 1987-1996 1432-7643 19:7<1987 2015 19 500 https://doi.org/10.1007/s00500-014-1385-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1385-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wen Meilin Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Qin Zhongfeng School of Economics and Management Science, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Kang Rui Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Yang Yi Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/7(2015-07-01), 1987-1996 1432-7643 19:7<1987 2015 19 500