Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing
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Highlights
► The completeness and complementarity of precision and grade are deeply analyzed. ► Two double-quantitative rough set models of precision and grade are constructed. ► The proposed models with quantitative completeness expand the Pawlak model. ► Model regions with double-quantitative semantics develop the traditional regions. ► The BMRC-Granules algorithm optimally computes model regions.
Keywords
Rough set theory
Granular computing
Variable precision rough set
Graded rough set
Double quantification
Model region
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