Ranking Ecient DMUs with Stochastic Data by Considering Inecient Frontier

Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking i...

Ranking stochastic efficient DMUs based on reliability

Ranking DMUs by New Metric DTM with Fuzzy Data in DEA

efficiency evaluation and ranking dmus in the presence of interval data with stochastic bounds

on account of the existence of uncertainty, dea occasionally faces the situation of imprecise data, especially when a set of dmus include missing data, ordinal data, interval data, stochastic data, or fuzzy data. therefore, how to evaluate the efficiency of a set of dmus in interval environments is a problem worth studying. in this paper, we discussed the new method for evaluation and ranking i...

ranking stochastic efficient dmus based on reliability

ranking dmus with interval data using dea and ca approaches

data envelope analysis (dea) is an approach to estimate the relative efficiency of decision making units (dmus). several studies were conducted in order to prioritize efficient units and some useful models such as cross-efficiency matrix (cem) were presented.  besides, a number of dea models with interval data have been developed and ranking dmus with such data was solved. however, presenting a...