Zohreh Moghaddas

Learn More
Data envelopment analysis (DEA) defines relative efficiency of decision making units (DMUs), using mathmatical programming. In evaluating relative efficiency, usually more than one unit may be efficient. The problem of ranking efficient DMUs is of interest from theoretical and practical point of view. In this paper different methods have been discussed and(More)
Budget allocation is a common task carried in our daily life. As it seems to be necessary to perform this task in an ideal manner this paper mainly deals with budget allocation problem. The main key feature of this work is that it uses a mathematical programming technique Data Envelopment Analysis (DEA) for formulating a proper model for capital budget(More)
Decision-making process is to find the best option from all of the feasible alternatives. Considering the efficiency interval, efficiency scores from optimistic and pessimistic points of view, all the possible evaluations can be illustrated. Therefore, Interval DEA models can be helpful for a decision maker needs all those possible efficiency values that(More)
Data envelopment analysis (DEA) models can calculate the Malmquist Productivity Index (MPI). Classic Malmquist Productivity Index shows regress and progress of a DMU in different periods with efficiency and technology variations without considering the present value of money. This issue is of major importance since while a currency of in previous year is(More)
In performance evaluations, data without explicit inputs (such as index data, pure output data) are widely used. To directly use such data, this paper presents a study on building DEA models without explicit inputs,DEA-WEI models, in which convexity assumption is considered to be satisfied while the ratio data are constructed. Finally, an example of the(More)
  • 1