A method of generating decision rules in object–oriented rough set models

Authors:
Yasuo Kudo;Tetsuya Murai
Affiliations:
Dept. of Computer Science and Systems Eng., Muroran Institute of Technology, Muroran, Japan;Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan
Venue:
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Year:
2006

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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.