Geodesic
Improved interval DEA models with common weight
Kybernetika, Tome 50 (2014) no. 5, pp. 774-785
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The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values. But it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and exact data. In order to solve this problem, this study proposes three new interval DEA models from different points of view. Two examples are presented to illustrate and validate these models.
The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values. But it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and exact data. In order to solve this problem, this study proposes three new interval DEA models from different points of view. Two examples are presented to illustrate and validate these models.
DOI : 10.14736/kyb-2014-5-0774
Classification : 90B50, 90C08
Keywords: data envelopment analysis (DEA); interval data; interval DEA model; common weight 
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     title = {Improved interval {DEA} models with common weight},
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Sun, Jiasen; Miao, Yajun; Wu, Jie; Cui, Lianbiao; Zhong, Runyang. Improved interval DEA models with common weight. Kybernetika, Tome 50 (2014) no. 5, pp. 774-785. doi: 10.14736/kyb-2014-5-0774

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