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Two optimality tests for differentiable concave value functions in linear multi-objective programming problems
Thanassoulis, Emmanuel - In: Operations research letters 6 (1987) 1, pp. 53-59
Persistent link: https://www.econbiz.de/10001038004
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Data envelopment analysis : the mathematical programming approach to efficiency analysis
Thanassoulis, Emmanuel - In: The measurement of productive efficiency and …, (pp. 251 - 420). 2008
Persistent link: https://www.econbiz.de/10014561082
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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
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Chance-constrained cost efficiency in data envelopment analysis model with random inputs and outputs
Shiraz, Rashed Khanjani; Hatami-Marbini, Adel; … - In: Operational research : an international journal 20 (2020) 3, pp. 1863-1898
Persistent link: https://www.econbiz.de/10012291259
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Portfolio optimization using robust mean absolute deviation model : Wasserstein metric approach
Hosseini-Nodeh, Zohreh; Shiraz, Rashed Khanjani; … - In: Finance research letters 54 (2023), pp. 1-13
Persistent link: https://www.econbiz.de/10014472705
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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
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Integrating geometric programming with rough set theory
Shiraz, Rashed Khanjani; Fukuyama, Hirofumi - In: Operational research : an international journal 18 (2018) 1, pp. 1-32
Persistent link: https://www.econbiz.de/10011917133
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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