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Fuzzy free disposal hull models under possibility and credibility measures

Shiraz, Rashed Khanjani; Tavana, Madjid; Paryab, Khalil - In: International Journal of Data Analysis Techniques and … 6 (2014) 3, pp. 286-306

The free disposal hull (FDH) models are used as an alternative to data envelopment analysis (DEA) models for performance measurement and efficiency assessment. The conventional FDH models are used to evaluate the performance of a set of firms or decision-making units (DMUs) using deterministic...

Persistent link: https://www.econbiz.de/10010816810

A new chance-constrained DEA model with birandom input and output data

Tavana, Madjid; Shiraz, Rashed Khanjani; … - In: Journal of the Operational Research Society 65 (2014) 12, pp. 1824-1839

The purpose of conventional Data Envelopment Analysis (DEA) is to evaluate the performance of a set of firms or Decision-Making Units using deterministic input and output data. However, the input and output data in the real-life performance evaluation problems are often stochastic. The...

Persistent link: https://www.econbiz.de/10010987028

Fuzzy chance-constrained geometric programming : the possibility, necessity and credibility approaches

Shiraz, Rashed Khanjani; Tavana, Madjid; Fukuyama, Hirofumi - In: Operational research : an international journal 17 (2017) 1, pp. 67-97

Persistent link: https://www.econbiz.de/10011725156

Chance-constrained data envelopment analysis modeling with random-rough data

Shiraz, Rashed Khanjani; Tavana, Madjid; Di Caprio, Debora - In: RAIRO / Operations research 52 (2018) 1, pp. 259-284

Persistent link: https://www.econbiz.de/10011968712

A new chance-constrained DEA model with birandom input and output data

Tavana, Madjid; Shiraz, Rashed Khanjani; … - In: Journal of the Operational Research Society : OR 65 (2014) 12, pp. 1824-1839

Persistent link: https://www.econbiz.de/10010481180

A joint chance-constrained data envelopment analysis model with random output data

Shiraz, Rashed Khanjani; Tavana, Madjid; Fukuyama, Hirofumi - In: Operational research : an international journal 21 (2021) 2, pp. 1255-1277

Persistent link: https://www.econbiz.de/10012584199