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.
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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.
Perspectives
The optimization of multiple qualities has significance in real-life applications. Existing experiments hardly handles the optimization of more than one mentioned qualities for the application eye view. This work proposes a method for optimal trisection with minimum uncertainty, impurity and maximum correlation between the classification and trisection.
Soumya T V
Cochin University of Science and Technology
Read the Original
This page is a summary of: An artificial bee colony-based framework for multi-objective optimization of three-way decisions with probabilistic rough sets, Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, January 2023, IOS Press,
DOI: 10.3233/jifs-221359.
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