Causality measures and analysis: A rough set framework.

Expert Systems with Applications(2019)

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摘要
•Causality between attributes can be measured by rough set theory.•Interventions can be handled by lower approximation and statistical independence.•Counterfactual interpretation is given for the complete attribute-value table.•The degree of dependency becoming zero, causation between attributes might exist.•Lower approximations being empty implies the joint probabilities are great than 0.
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关键词
Rough set,Lower approximation,Causal effect,Intervention,Counterfactual
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