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An ABC-based framework for multi-objective optimization of probabilistic rough sets.

What is it about?

This probe conducts multi-objective optimization of uncertainty, impurity and correlation, to determine a trisection at optimal (α, β) pairs in Probabilistic Rough Sets. For that, this work proposes a hybrid method that involves Weighted Sum and Artificial Bee Colony Algorithm to optimize the thresholds.

Why is it important?

The proposed method outperforms regarding optimal qualities, multiple optimum thresholds, minimal size of boundary regions, and better evaluation results. From the application viewpoint, the proposed method reduces the cost of further analysis by generating the minimum delayed decision and maximizes the benefit with optimal decisions by considering multiple optimized qualities simultaneously.

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Soumya T V
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