Mohammad Khodabakhshi
According to our database1,
Mohammad Khodabakhshi
authored at least 25 papers
between 2003 and 2017.
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Bibliography
2017
Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis.
RAIRO Oper. Res., 2017
Proposing a method for fixed cost allocation using DEA based on the efficiency invariance and common set of weights principles.
Math. Methods Oper. Res., 2017
2016
ABC classification using DEA: classification of Iranian universities from students welfare foundation viewpoint.
Int. J. Inf. Decis. Sci., 2016
2015
A Non-Radial Input Relaxation Model Approach for Evaluating Input Congestion in Data Envelopment Analysis.
Int. J. Knowl. Based Organ., 2015
Comput. Ind. Eng., 2015
2014
Ann. Oper. Res., 2014
2013
Comput. Ind. Eng., 2013
2012
Estimating most productive scale size with imprecise-chance constrained input-output orientation model in data envelopment analysis.
Comput. Ind. Eng., 2012
2011
Corrigendum to "A cross-efficiency model based on super-efficiency for ranking units through TOPSIS approach and its extension to interval case" [Math. Comput. Model. 53 (2011) 1946-1955]
Math. Comput. Model., 2011
A cross-efficiency model based on super-efficiency for ranking units through the TOPSIS approach and its extension to the interval case.
Math. Comput. Model., 2011
Super-efficiency in stochastic data envelopment analysis: An input relaxation approach.
J. Comput. Appl. Math., 2011
2010
J. Intell. Fuzzy Syst., 2010
An input-oriented super-efficiency measure in stochastic data envelopment analysis: Evaluating chief executive officers of US public banks and thrifts.
Expert Syst. Appl., 2010
An output oriented super-efficiency measure in stochastic data envelopment analysis: Considering Iranian electricity distribution companies.
Comput. Ind. Eng., 2010
2007
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
2004
Determining assurance interval for non-Archimedean element in the improving outputs model in DEA.
Appl. Math. Comput., 2004
Suitable combination of inputs for improving outputs in DEA with determining input congestion: Considering textile industry of China.
Appl. Math. Comput., 2004
2003
Using input-output orientation model for determining most productive scale size in DEA.
Appl. Math. Comput., 2003