Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds
نویسندگان
چکیده مقاله:
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 interval data with stochastic bounds. The approach is exemplified by numerical examples.
منابع مشابه
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...
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عنوان ژورنال
دوره 3 شماره 1
صفحات 617- 626
تاریخ انتشار 2015-01-17
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