Inverse dea model with considering returns to scale and elasticity

This paper discusses a new kind of inverse data envelopment analysis (DEA) model with considering returns to scale and elasticity of decision making unit (DMU). An inverse DEA model can be used for a DMU to estimate its input/output levels when some or all of its input/output entities are revised. Different from original inverse DEA model, the new model allows the efficiency score being changed, which is more of economical background. Under this hypothesis, by finding most production scale size of the observed DMU, we propose a function to compute the approximate change of efficiency score, and then we construct an algorithm to solve the new inverse DEA model. Numerical example is discussed at last.