H. Hasan Örkcü - researchr alias

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Viewing Publication 1 - 16 from 16

2021

A simplistic approach without epsilon to choose the most efficient unit in data envelopment analysisVolkan Soner Özsoy, H. Hasan Örkcü, Mediha Örkcü. eswa, 168:114472, 2021. [doi]

A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processesVolkan Soner Özsoy, Mediha Örkcü, H. Hasan Örkcü. anor, 300(1):137-169, 2021. [doi]

A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processesVolkan Soner Özsoy, Mediha Örkcü, H. Hasan Örkcü. anor, 300(1):137-169, 2021. [doi]

2020

An optimistic-pessimistic DEA model based on game cross efficiency approachMediha Örkcü, Volkan Soner Özsoy, H. Hasan Örkcü. rairo, 54(4):1215-1230, 2020. [doi]

Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methodsVolkan Soner Özsoy, Mehmet Güray Ünsal, H. Hasan Örkcü. cstat, 35(4):1895-1925, 2020. [doi]

2019

A neutral cross efficiency approach for basic two stage production systemsH. Hasan Örkcü, Volkan Soner Özsoy, Mediha Örkcü, Hasan Bal. eswa, 125:333-344, 2019. [doi]

2015

A modification of a mixed integer linear programming (MILP) model to avoid the computational complexityH. Hasan Örkcü, Mehmet Güray Ünsal, Hasan Bal. anor, 235(1):599-623, 2015. [doi]

Estimating the parameters of 3-p Weibull distribution using particle swarm optimization: A comprehensive experimental comparisonH. Hasan Örkcü, Volkan Soner Özsoy, Ertugrul Aksoy, Mustafa Isa Dogan. amc, 268:201-226, 2015. [doi]

Estimating the parameters of 3-p Weibull distribution through differential evolutionH. Hasan Örkcü, Ertugrul Aksoy, Mustafa Isa Dogan. amc, 251:211-224, 2015. [doi]

2013

Subset selection in multiple linear regression models: A hybrid of genetic and simulated annealing algorithmsH. Hasan Örkcü. amc, 219(23):11018-11028, 2013. [doi]

2011

A new mathematical programming approach to multi-group classification problemsHasan Bal, H. Hasan Örkcü. cor, 38(1):105-111, 2011. [doi]

Comparing performances of backpropagation and genetic algorithms in the data classificationH. Hasan Örkcü, Hasan Bal. eswa, 38(4):3703-3709, 2011. [doi]

Goal programming approaches for data envelopment analysis cross efficiency evaluationH. Hasan Örkcü, Hasan Bal. amc, 218(2):346-356, 2011. [doi]

2010

Improving the discrimination power and weights dispersion in the data envelopment analysisHasan Bal, H. Hasan Örkcü, Salih Çelebioglu. cor, 37(1):99-107, 2010. [doi]

2008

A new method based on the dispersion of weights in data envelopment analysisHasan Bal, H. Hasan Örkcü, Salih Çelebioglu. candie, 54(3):502-512, 2008. [doi]

2006

An experimental comparison of the new goal programming and the linear programming approaches in the two-group discriminant problemsHasan Bal, H. Hasan Örkcü, Salih Çelebioglu. candie, 50(3):296-311, 2006. [doi]

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