Papers by Mohammad Reza Khodabakhshi
In this paper, additive model is used to provide an alternative approach for estimating returns t... more In this paper, additive model is used to provide an alternative approach for estimating returns to scale in data envelopment analysis. The proposed model is developed in both stochastic and fuzzy data envelopment analysis. Deterministic (crisp) equivalents are obtained which correspond to the stochastic and fuzzy models. Numerical examples are, also, used to illustrate the proposed approaches. j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / a p m authors prefer to call such problems linear programming with fuzzy coefficients problems.
International Journal of Statistics and Management System, c 2009 Serials Publications ... M. Asg... more International Journal of Statistics and Management System, c 2009 Serials Publications ... M. Asgharian , M. Khodabakhshi b and Luka Neralic § ... The input relaxation model and its stochastic version, recently introduced in Data ... Envelopment Analysis (DEA) ...
Applied Mathematics and Computation, Jan 15, 2007
ABSTRACT This paper addresses “super-efficiency” issue based on improved outputs. Although the me... more ABSTRACT This paper addresses “super-efficiency” issue based on improved outputs. Although the method is similar to an output-oriented version of Andersen and Petersen’s model [P. Andersen, N.C. Petersen, A procedure for ranking efficient units in data envelopment analysis, Management Science 39 (10) (1993) 1261–1264] (called AP model) under variable returns to scale, it is not limited to use the input amounts of evaluating DMU, therefore, it differs from AP approach. We can obtain a total ordering of DMUs by using this method. The proposed method will be particularly useful when getting an input combination for improving outputs is suitable for decision makers.
This paper addresses chance constrained version of an additive input relaxation model which has b... more This paper addresses chance constrained version of an additive input relaxation model which has been developed in data envelopment analysis (e.g. ). Its deterministic equivalent for solving this chance constrained (stochastic) model is also obtained which can be transformed to a quadratic programming problem. Data of software companies is also used to apply the proposed method as an empirical example. Finally, sensitivity analysis of the additive input relaxation model is discussed.
In this paper, additive model with stochastic data is used to provide an alternative approach for... more In this paper, additive model with stochastic data is used to provide an alternative approach for estimating returns to scale in data envelopment analysis (DEA). Classic data envelopment analysis models with deterministic data have been used by many authors to measure returns to scale (RTS). However, data envelopment analysis with stochastic data are, rarely used to measure returns to scale.
The Scientific World Journal, 2015
Computers & Industrial Engineering, 2015
ABSTRACT When some alternatives are ranked by several voters, each alternative may be placed in d... more ABSTRACT When some alternatives are ranked by several voters, each alternative may be placed in different ranks. Aggregating such preference rankings into single ranking is the motivation of this study. To this end, the optimistic and pessimistic scores of each alternative are determined using a weighted sum of its ranks in all rankings. The data envelopment analysis technique is used to determine these weights. Then, the optimistic and pessimistic scores of each alternatives are aggregated into a combined score. Finally, alternatives are again ranked according to their combined scores.
In this paper, a-one model approached of congestion, based on relaxed combination of inputs, is d... more In this paper, a-one model approached of congestion, based on relaxed combination of inputs, is developed in fuzzy data envelopment analysis (DEA). We obtained crisp equivalent for the fuzzy model with a possibility approach.
Quarterly Journal of Management and Development Process, 2011
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Papers by Mohammad Reza Khodabakhshi