Rough Set Approach to Information Tables with Imprecise Decisions

Authors:
Masahiro Inuiguchi;Bingjun Li
Affiliations:
Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan 560-8531;College of Information and Management Science, Henan Agricultural University, Zhengzhou, China 450002
Venue:
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Year:
2008

Citing 4
Cited 2

Variable precision rough set model

Journal of Computer and System Sciences
Rough set approach to incomplete information systems

Information Sciences: an International Journal
On semantic issues connected with incomplete information databases

ACM Transactions on Database Systems (TODS)
A Generalized Definition of Rough Approximations Based on Similarity

IEEE Transactions on Knowledge and Data Engineering

Rough Set Approach to Rule Induction from Imprecise Decision Tables

WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
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 treat information tables with imprecise decisions, for short, imprecise decision tables. In the imprecise decision tables, decision attribute values are specified imprecisely. Under such decision tables, lower and upper object sets for a set of decision attribute values are defined. Their properties are shown. Concepts of reducts of imprecise decision tables are studied. Discernibility matrix methods are investigated for calculations of all reducts.