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.
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.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | December 1, 2020 |
Submission Date | August 2, 2019 |
Published in Issue | Year 2020 Volume: 23 Issue: 4 |
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