Multiple Granulation Knowledge Acquisition under β-Dominance Relation in Incomplete Ordered Information System
DOI:
https://doi.org/10.15837/ijccc.2026.4.7210Keywords:
Multiple granulation rough set, β-dominance relation, Incomplete ordered information system, Approximation qualityAbstract
Given that the expanded dominance relation is overly lenient while the limited dominance relation is excessively strict, this paper proposes a new β-dominance relation in incomplete ordered information system, and on this basis, constructs both an optimistic multiple granulation rough set model and a pessimistic multiple granulation rough set model. Subsequently, the paper elaborates in detail on the accuracy measures and approximation qualities of these two multiple granulation rough set models, along with their corresponding algorithms. Finally, through experimental analysis of data from the University of California, Irvine data warehouse, it is confirmed that the proposed multiple granulation rough set models exhibit outstanding performance in both knowledge acquisition and fault tolerance capability.
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