کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4634775 | 1340699 | 2007 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Discriminant analysis of interval data using Monte Carlo method in assessment of overlap Discriminant analysis of interval data using Monte Carlo method in assessment of overlap](/preview/png/4634775.png)
In this paper we show that the method of discriminant analysis (DA), on interval data by data envelopment analysis (DEA). DEA-discriminant analysis (DEA-DA) is designed to identify the existence or non-existence of an overlap between two groups, by separating hyperplane. In addition it predicts a new observation to the group which it belongs to. Data envelopment analysis technique which is developed based on the mathematical programming, evaluates the relative efficiency of a set of homogeneous decision making units. However, there are similarities between DEA and DA. DA is a method for separating two sets with previous knowledge meanwhile DEA is a technique for separating two sets efficient and inefficient without previous knowledge. Also goal programming method can be used for both of these methods.
Journal: Applied Mathematics and Computation - Volume 191, Issue 2, 15 August 2007, Pages 521–532