In this study, a
new fuzzy logic and mathematical programming based model was proposed to solve
three-group classification problem. Determination of cut-off value, which
corresponds to discrimination axis in classification problems, has importance.
Status of the cut-off value such as asymmetric triangle fuzzy number, trapezoid
fuzzy number and gauss fuzzy number was examined. The proposed approach
displayed better performance when compared to Fisher's Linear Discriminant
Function and some mathematical programming-based models by using three group
data sets used frequently in the literature.
Three group classification problem fuzzy logic mathematical programming goal programming
In this study, a
new fuzzy logic and mathematical programming based model was proposed to solve
three-group classification problem. Determination of cut-off value, which
corresponds to discrimination axis in classification problems, has importance.
Status of the cut-off value such as asymmetric triangle fuzzy number, trapezoid
fuzzy number and gauss fuzzy number was examined. The proposed approach
displayed better performance when compared to Fisher's Linear Discriminant
Function and some mathematical programming-based models by using three group
data sets used frequently in the literature.
fuzzy logic Three group classification problem mathematical programming goal programming
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Aralık 2020 |
Gönderilme Tarihi | 2 Ağustos 2019 |
Yayımlandığı Sayı | Yıl 2020 Cilt: 23 Sayı: 4 |
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