Mining incomplete data with singleton, subset and concept probabilistic approximations
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Publication:507637
DOI10.1016/j.ins.2014.05.007zbMath1355.68254OpenAlexW2057720485MaRDI QIDQ507637
Jerzy W. Grzymala-Busse, Wojciech Rzasa, Patrick G. Clark
Publication date: 7 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.05.007
incomplete dataprobabilistic approximationsextensions of probabilistic approximationssingleton, subset and concept probabilistic approximations
Related Items (6)
A Rough Set Approach to Incomplete Data ⋮ Consistency of incomplete data ⋮ Dominance-based rough set approach to incomplete ordered information systems ⋮ On rule acquisition in incomplete multi-scale decision tables ⋮ The rough membership functions on four types of covering-based rough sets and their applications ⋮ Extending characteristic relations on an incomplete data set by the three-way decision theory
Uses Software
Cites Work
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