TY  - GEN 
AU  - Ding, Weiping
AU  - Pedrycz, Witold
AU  - Triguero, Isaac
AU  - Cao, Zehong
AU  - Lin, Chin-Teng
PY  - 2021
UR  - https://hdl.handle.net/10481/110289
AB  - As big data often contains a significant amount of uncertain, unstructured, and imprecise data that are structurally complex and incomplete, traditional attribute reduction methods are less effective when applied to large-scale incomplete information...
LA  - eng
PB  - IEEE
KW  - Multigranulation super-trust model
KW  - fuzzy-rough attribute reduction
KW  - valued tolerance relation
KW  - ensemble consensus compensatory scheme
TI  - Multigranulation supertrust model for attribute reduction
DO  - 10.1109/TFUZZ.2020.2975152
ER  -