Developing Selective Proportionality on Free Disposal Hall Models

In Data Envelopment Analysis (DEA) literature, Traditional DEA models do not provide sufficient discrimination between the efficiency of DMUs. Therefore, there are some tools for the improvement of discrimination of DEA models. Selective proportionality is the one of the advanced tools based on selection in proportionality between inputs and outputs. Podinovski first introduced this concept to DEA models with assumption the convexity of the production possibility set. Hence, this paper describe a new insight of proportionality axiom and shows that the proportionality between inputs and outputs can be controlled in FDH models using a new modeling based on selective proportionality axiom. This paper also, presents a complete LP framework to deal with FDH models based on this concept.

کلیدواژه ها:

Data envelopment analysis ، selective proportionality ، free disposal hall