Mar 8, 2024 · Attribute reductions are systematically formulated to contain both a basic reduction algorithm (called CAR) and five advanced reduction algorithms.
Systematic attribute reductions based on double granulation ...
dl.acm.org › doi › j.ijar.2024.109165
Attribute reductions eliminate redundant information to become valuable in data reasoning. In the data context of interval-set decision systems (ISDSs), ...
Attribute reductions eliminate redundant information to become valuable in data reasoning. In the data context of interval-set decision systems (ISDSs), ...
Mar 8, 2024 · Attribute reductions eliminate redundant information to become valuable in data reasoning. In the data context of interval-set decision ...
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems · Mathematics, ...
View · Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems. Article. Mar ...
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems · Author Picture ...
This paper aims at studying the uncertainty measurements for interval set information tables. Firstly, an interval δ-similarity relation is induced based on the ...
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems · Xin XieXianyong ...
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems. Int. J. Approx ...