Learning multi-granularity decision implication in correlative data from a logical perspective

Shaoxia Zhang, Yanhui Zhai, Deyu Li, Chao Zhang

Abstract: Highlights•Multi-granularity decision implication within correlative data is proposed.•Multi-granularity decision implication is studied from a logic perspective.•Lattice fusion decision context is designed by a seamlessly integrated manner.•The research findings was exemplified within Movielens dataset.