Rough Set Approach to Rule Induction from Imprecise Decision Tables

Authors:
Masahiro Inuiguchi
Affiliations:
Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan 560-8531
Venue:
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Year:
2009

Citing 3
Cited 2

Rough set approach to incomplete information systems

Information Sciences: an International Journal
A Generalized Definition of Rough Approximations Based on Similarity

IEEE Transactions on Knowledge and Data Engineering
Rough Set Approach to Information Tables with Imprecise Decisions

RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing

Dominance-based rough set approach for possibilistic information systems

RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
LEM2-based rule induction from data tables with imprecise evaluations

RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we investigate rule induction from imprecise decision tables. In the imprecise decision tables, decision attribute values are specified imprecisely. Under a definition of rough set with respect to imprecise decision tables, several rule induction schemes are considered. In each rule induction scheme, the conventional decision matrix method is extended to the case of imprecise decision tables.