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Fuzzy goal programming model for classification problems
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DOI：10.1007/s10479-015-1908-3.png)
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Abstract
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The aim of this paper is to propose a new approach, based on fuzzy goal programming, for classification problems where the cut-off value c corresponding to the discriminant axe is considered as imprecise. The fuzziness was handled through different membership functions. The proposed model will be illustrated through two and multi-groups classification problems.
Keywords:
Classification problems
Discriminant analysis
Imprecise goal programming model
Mathematical programming
Fuzzy numbers
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