data envelopment analysis (dea) is an eciency measurement tool for evaluation of similar decision making units (dmus). in dea, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. in traditional dea models, this measure is also equivalent with relative eciency score which evaluates dmus in com...

super eciency data envelopment analysis(dea) model can be used in ranking the performanceof ecient decision making units(dmus). in dea, non-extreme ecient unitshave a super eciency score one and the existing super eciency dea models do notprovide a complete ranking about these units. in this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient u...

traditional dea models deal with measurements of relative eciency ofdmus regarding multiple - inputs vs. multiple-outputs. one of the drawbacksof these model is the neglect of intermediate products or linkong activities. af-ter pointing out needs for inclusion of them to dea models. we propose hybridmodel that can deal with intermediate products formally using this model wecan evaluate divisio...

We introduce an ordinal model of e ciency measurement. Our primitive is a notion of e ciency that is comparative, but not cardinal or absolute. In this framework, we postulate axioms that we believe an ordinal e ciency measure should satisfy. Primary among these are choice consistency and planning consistency, which guide the measurement of e ciency in a firm with access to multiple technologie...

E ciency is considered a key factor when evaluating a bank's performance. Moreover, e ciency enhancement is an explicit policy objective in the Single Market Directive of the European Commission. But e ciency improvements may come at the expense of deteriorating bank pro ts and excessive risk-taking. Both the quantitative e ects and dynamic reactions of performance in response to e ciency impro...