Sensitivity and stability analysis of the additive model in uncertain data envelopment analysis

Verfasser / Beitragende:
[Meilin Wen, Zhongfeng Qin, Rui Kang, Yi Yang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/7(2015-07-01), 1987-1996
Format:
Artikel (online)
ID: 605468958
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024 7 0 |a 10.1007/s00500-014-1385-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1385-7 
245 0 0 |a Sensitivity and stability analysis of the additive model in uncertain data envelopment analysis  |h [Elektronische Daten]  |c [Meilin Wen, Zhongfeng Qin, Rui Kang, Yi Yang] 
520 3 |a 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. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Data envelopment analysis  |2 nationallicence 
690 7 |a Uncertain measure  |2 nationallicence 
690 7 |a Uncertainty distribution  |2 nationallicence 
690 7 |a Efficiency  |2 nationallicence 
690 7 |a Sensitivity  |2 nationallicence 
690 7 |a Stability  |2 nationallicence 
700 1 |a Wen  |D Meilin  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
700 1 |a Qin  |D Zhongfeng  |u School of Economics and Management Science, Beihang University, 100191, Beijing, China  |4 aut 
700 1 |a Kang  |D Rui  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
700 1 |a Yang  |D Yi  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/7(2015-07-01), 1987-1996  |x 1432-7643  |q 19:7<1987  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1385-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1385-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wen  |D Meilin  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Qin  |D Zhongfeng  |u School of Economics and Management Science, Beihang University, 100191, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kang  |D Rui  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yang  |D Yi  |u Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/7(2015-07-01), 1987-1996  |x 1432-7643  |q 19:7<1987  |1 2015  |2 19  |o 500