Evaluation Based on Pessimistic Efficiency in Interval DEA

被引:0
作者
Entani, Tomoe [1 ]
机构
[1] Kochi Univ, Kochi 780, Japan
来源
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5861卷
关键词
Interval DEA; efficiency interval; pessimistic; arrangement; DATA ENVELOPMENT ANALYSIS; SUPER-EFFICIENCY; RANKING; UNITS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In Interval DEA (Data Envelopment Analysis), efficiency in has been proposed and its bounds are obtained from the optimistic and pessimistic viewpoints, respectively. Intervals are suitable to represent, uncertainty of the given input-output data and decision makers' intuitive evaluations. Although the intervals give elements a partial order relation, it is sometimes complex, especially in case of many elements. The efficiency measurement combining optimistic and pessimistic efficiencies in Interval DEA is proposed. They are compared front the view that both of them represent the difference of the analyzed DMU (Decision Making Unit) from the most efficient one. The proposed efficiency measurement is mainly determined by the pessimistic efficiency. The optimistic one is considered if it is inadequate comparing to the pessimistic one. Such a pessimistic efficiency based evaluation is more similar to our natural evaluation and DMUs are arranged as a linear order.
引用
收藏
页码:231 / 238
页数:8
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