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The data in traditional DEA model are limited to crisp inputs and outputs, which cannot be precisely obtained in many production processes or social activities. At the same time, the traditional DEA model can not evaluate by using some given reference units. This paper attempts to extend the traditional DEA model and establishes a fuzzy DEA model based on sample data evaluation. To establish this...
As a branch of Group Decision-Making Method, Grade division plays an important role in many applications such as hazard assessment, quality evaluation, and performance inspection and so on. At present, the most popular grade division method is fuzzy comprehensive evaluation, which determines the decision objects' grade through analysis of evaluation vector. One problem with this approach is that it...
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) with multiple inputs and multiple outputs. Unascertained math is a useful tool for dealing with unascertained information. The unascertained theory was introduced to data envelopment analysis in this paper. A new model, which is called interval data envelopment analysis...
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