Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 49th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 3B2-1
Conference information
Variable Precision Rough Set Analysis of Multiple Decision Tables
*Masahiro Inuiguchi, Takuya Miyajima
Author information
Keywords: Variable Precision Rough Set, Decision Table, classification error, agreement ratio, Rough Membership Value
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Download citation RIS

(compatible with EndNote, Reference Manager, ProCite, RefWorks)

BIB TEX

(compatible with BibDesk, LaTeX)

Text
How to download citation
Contact us
Abstract
In this paper, we study variable precisionrough set analysis of multiple decision tables.The precision of a decision ineach table, the ratio of supporting decisiontables to all decision tables and the ratio of opposing decision tables to all decision tablesare controlled in the analysis.As the classical rough set model plays a key role in analysisof decision tables such as reduction, rule induction, etc.,the proposed variable precision rough set models will playa key role in analysis of multiple decision tables.
Content from these authors
© 2005 The Institute of Systems, Control and Information Engineers
Previous article Next article
Favorites & Alerts

Recently viewed articles
Share this page
feedback
 Top