Local and Global Approximations for Incomplete Data

DOI10.1007/11908029_27zbMath1162.68690OpenAlexW1563282755MaRDI QIDQ5900434

Wojciech Rzasa, Jerzy W. Grzymala-Busse

Publication date: 13 November 2008

Published in: Rough Sets and Current Trends in Computing (Search for Journal in Brave)

Full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.468.1052

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (7)

Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks ⋮ Characteristic sets and generalized maximal consistent blocks in mining incomplete data ⋮ A Rough Set Approach to Incomplete Data ⋮ Approximations and uncertainty measures in incomplete information systems ⋮ Fuzzy set-valued information systems and the algorithm of filling missing values for incomplete information systems ⋮ Generalized rough set models determined by multiple neighborhoods generated from a similarity relation ⋮ Local and Global Approximations for Incomplete Data

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