A multi-granularity decision tree algorithm based on variable precision rough sets and Zentropy

doi:10.1016/j.asoc.2025.113851

A multi-granularity decision tree algorithm based on variable precision rough sets and Zentropy

2025-09-11

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DOI：10.1016/j.asoc.2025.113851

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• Adaptive weighted Zentropy is proposed to solve the limitations of existing methods. • An adaptive weight is designed to solve the problem of multi-value preferences. • A novel decision tree algorithm is constructed based on the adaptive weighted Zentropy. • Experiments on 18 public datasets demonstrate the superiorities of the proposed method.

A multi-granularity decision tree algorithm based on variable precision rough sets and Zentropy

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