科研之友
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摘要
Over the past years, the data envelopment analysis (DEA) methodology has registered widespread use among researchers from many fields. Furthermore, it is important to note that the non-Archimedean infinitesimal, , is a key concept in DEA models. Nevertheless, it is known that some computational difficulties arise when using in DEA. In this short communication, we show how the non-Archimedean may be voided using a directional distance function approach. Thus, our approach avoids choosing a real number (10(-5) or 10(-6)) as a value for or estimating the same.
- 出版日期2018
