HIGHLIGHTS
SUMMARY
Qian et_al in50 extended the single granulation rough set model to the multigranulation rough set model, which emerged as a prominent topic in artificial_intelligence, attracting a wide range of researchers to both theoretical and application perspectives. Li et_al52, presented the notion of three types of double quantitative multigranulation decision theoretic rough fuzzy set models and discussed case study related to medical diagnosis problem. Variable precision rough set and graded rough set, as two useful expanded rough set models, can respectively reflect relative and absolute quantitative information about the degree of overlapping between equivalence classes . . .
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