TY - GEN AU - Ding, Weiping AU - Pedrycz, Witold AU - Triguero, Isaac AU - Cao, Zehong AU - Lin, Chin-Teng PY - 2021 SN - 1063-6706 SN - 1941-0034 UR - https://hdl.handle.net/10481/110290 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 TI - Multigranulation Supertrust Model for Attribute Reduction DO - 10.1109/TFUZZ.2020.2975152 ER -