A systematic survey mapping rough set paradigms and extensions by granulation type and uncertainty frameworks such as fuzzy and neutrosophic settings.
Optimized ensemble learning- based student’s performance prediction with weighted rough set theory enabled feature mining
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Handbook of Rough Set Extensions and Uncertainty Models
A systematic survey mapping rough set paradigms and extensions by granulation type and uncertainty frameworks such as fuzzy and neutrosophic settings.