An additive model approach for estimating returns to scale in imprecise data envelopment analysis

By Mohammad Bagher Khodabakhshi, Y. Gholami, Hooshang Kheirollahi. 2010

63 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f8e6ce7ab751433c76d23ffd1ee0160aaf5b1942

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Adel Hatami-Marbini
2. Madjid Tavana
3. Ali Emrouznejad
4. Kannan Govindan
5. Martin Brandt Jepsen

In Management Science and Operations Research

1. Adel Hatami-Marbini
2. Madjid Tavana
3. Ali Emrouznejad
4. Kannan Govindan
5. Martin Brandt Jepsen

Citations in the corpus

• A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making (2011, methodology): “Khodabakhshi et al. (2010) formulated two alternative fuzzy and stochastic additive models to determine returns to scale in DEA. They developed the fuzzy and stochastic DEA models based on the possibility approach and the concept of chance constraint programming, respectively. Wen and Li (2009) prop”