Statistical Model for Rough Set Approach to Multicriteria Classification

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Data preprocessing techniques for classification without discrimination (2011, neutral): “One noteworthy exception is monotonic classification [10,18].”
Three naive Bayes approaches for discrimination-free classification (2010, background): “Our proposed classification problem with independencyconstraintsclearlyfitsintothisframework.Mostexistingworksonconstraintbasedclassification,however,imposepurelysyntacticconstraintslimiting,e.g., modelcomplexity,orexplicitlyenforcingthepredictedclassforcertainexamples.One noteworthy exception is mo”
Discrimination-aware classification (2011, unknown): “One noteworthy exception is monotone classification [30, 53].”
Discrimination Aware Decision Tree Learning (2010, background): “One noteworthy exception is monotonic classification [11, 5], where the aim is to find a classification that is monotone in a given attribute.”