Presumably correct decision sets

Gonzalo Nápoles,Isel Grau,Agnieszka Jastrzebska,Yamisleydi Salgueiro

Pattern Recognition（2023）

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摘要

•The paper proposes the Presumably Correct Decision Sets for handling uncertainty.•Similarity neighborhoods define weak, borderline and strong members of each class.•Presumably correct and incorrect sets allow detecting difficult instances.•Numerical simulations illustrate the advantages of our model compared to rough sets.

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关键词

Data analysis, Granular computing, Decision sets, Rough sets

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