LEM2-based rule induction from data tables with imprecise evaluations

Authors:
Masahiro Inuiguchi;Masahiko Tsuji;Yoshifumi Kusunoki;Masayo Tsurumi
Affiliations:
Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan;Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan;Graduate School of Engineering, Osaka University, Suita, Osaka, Japan;Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

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Abstract

We propose a rough set approach to data tables with imprecise evaluations. Treatments of imprecise evaluations are described and four rule induction schemas are proposed. For each rule induction schema, we apply LEM2-based rule induction algorithm by defining the positive object set appropriately. The performances of the proposed rule induction algorithms are examined by numerical experiments.