Paper Info
Title
A method of generating decision rules in object–oriented rough set models
Abstract
We propose a method of decision rule generation in object–oriented rough set models proposed by Kudo and Murai. The object–oriented rough set model is an extension of the “traditional” rough set theory by introducing object–oriented paradigm used in computer science. The object–oriented rough set model treats objects as instances of some classes, and illustrate structural hierarchies among objects based on is-a relationship and has-a relationship. In this paper, we introduce decision rules in the object–oriented rough set model, and revise discernibility matrices proposed by Skowron and Rauser to generate decision rules in the object–oriented rough set model.
Year
DOI
Venue
2006
10.1007/11908029_36
RSCTC
Keywords
Field
DocType
oriented paradigm,decision rule,decision rule generation,rough set theory,discernibility matrix,is-a relationship,structural hierarchy,computer science,has-a relationship,oriented rough set model,object oriented,rough set
Decision rule,Object-oriented programming,Matrix (mathematics),Object structure,Rough set,Artificial intelligence,Hierarchy,Dominance-based rough set approach,Mathematics
Conference
Volume
ISSN
ISBN
4259
0302-9743
3-540-47693-8
Citations 
PageRank 
References 
6
0.97
2
Authors
2
Name
Order
Citations
PageRank
Yasuo Kudo19526.41
Tetsuya Murai218642.10