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Author (up) Jahanshahloo, G.R.; Hosseinzadeh Lotfi, F.; Rezai Balf, F.; Zhiani Rezai, H. doi  openurl
  Title Discriminant analysis of interval data using Monte Carlo method in assessment of overlap Type
  Year 2007 Publication Applied Mathematics and Computation Abbreviated Journal  
  Volume 191 Issue 2 Pages 521-532  
  Keywords Data Envelopment Analysis (DEA ); Interval data; Discriminate analysis; Monte Carlo method  
  Abstract 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.  
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  Call Number Admin @ admin @ JahanshahlooHosseinzadeh-LotfiRezai-BalfZhiani-Rezai2007 Serial 3782  
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