1995
DOI: 10.1038/sj/jors/0460506
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Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-group Classification Problem

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Cited by 3 publications
(3 citation statements)
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“…Another approach they suggested is to convert the classification problem to h 2 ¼ hðhÀ1Þ 2 distinct two-group problems (where h number of groups) where each problem is solved separately. This is because the method may classify a unit into h different groups by the h pairwise discriminate functions, as pointed out by Pavur and Loucopoulos [15] and Loucopoulos and Pavur [16]. Lam and Moy [17] expanded the two-group classification model that is developed by Lam et al [6] to a multi-group classification model.…”
Section: Mathematical Programming Formulations For Multi-group Classimentioning
confidence: 94%
“…Another approach they suggested is to convert the classification problem to h 2 ¼ hðhÀ1Þ 2 distinct two-group problems (where h number of groups) where each problem is solved separately. This is because the method may classify a unit into h different groups by the h pairwise discriminate functions, as pointed out by Pavur and Loucopoulos [15] and Loucopoulos and Pavur [16]. Lam and Moy [17] expanded the two-group classification model that is developed by Lam et al [6] to a multi-group classification model.…”
Section: Mathematical Programming Formulations For Multi-group Classimentioning
confidence: 94%
“…Ayrıca doğrusal programlama modelinin genişletilmesiyle karma tam sayılı modellerde kullanılmaya başlamıştır. Bu yöntemlerde örneğin yanlış veya doğru sınıflandırıldığını göstermek için iki değerli tam sayı değişkenleri kullanılır [50][51][52]. Daha yakın tarihlerde DEA-DA olarak adlandırılan iki gruplu ve çok gruplu parametrik olmayan diskriminant analizi yaklaşımları da önerilmiştir [49,53,54].…”
Section: Destek Vektör Regresyon (Supportunclassified
“…Another MIP formulation for the multiple-group classification problem was presented in [4]. In [9], characteristics of the multiple-group problem which may result in degenerate or unacceptable solutions were examined.…”
Section: Introductionmentioning
confidence: 99%