Rough mereology in knowledge representation

Authors:
Cungen Cao;Yuefei Sui;Zaiyue Zhang
Affiliations:
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Department of Computer Science, Technology College, Yangzhou University, Yangzhou, Jiangsu, China
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

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Abstract

The rough mereology proposed by Polkowski and Skowron is used in complex systems, multi-agent systems, knowledge engineering and knowledge representation. The function µ makes the rough mereology more like the fuzzy mereology. A new rough mereology is proposed, in which the rough inclusion is defined completely based on the upper and lower approximations of rough sets. The basic properties of the rough mereology, and applications in the knowledge representation and knowledge engineering are discussed.