JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2022, Vol. 57 ›› Issue (9): 33-45.doi: 10.6040/j.issn.1671-9352.0.2021.457

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Research on multi-granularity hierarchical sequential three-way decision model

QIAN Jin1,2, TANG Da-wei1*, HONG Cheng-xin2   

  1. 1.School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212100, Jiangsu, China;
    2. School of Software, East China Jiaotong University, Nanchang 330013, Jiangxi, China
  • Published:2022-09-15

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Abstract: The existing algorithms generate a large number of the decision rules, which is not easy to be understood. Moreover, the descriptions of the rules are too specific, which easily lead to overfitting. To this end, a multi-granularity hierarchical sequential three-way decision model is proposed. Firstly, we generalize the target concept through the concept hierarchy tree and construct the multi-hierarchical decision table. Then, we construct the multi-granularity hierarchical sequential three-way decision model, calculate the three probabilistic regions, and acquire the corresponding the generalized rules from the multi-view and multi-level. Finally, the effectiveness of our model is verified by experiments. This model provides a new perspective for knowledge acquisition and enriches the research of multi-granularity three-way decisions.

Key words: knowledge acquisition, three-way decision, multi-granularity rough set, multi-hierarchical decision table, concept hierarchy tree

CLC Number: 

  • TP18
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