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2003 | OriginalPaper | Chapter

Rough Mereology in Knowledge Representation

Authors : Cungen Cao, Yuefei Sui, Zaiyue Zhang

Published in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Publisher: Springer Berlin Heidelberg

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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.

Metadata
Title
Rough Mereology in Knowledge Representation
Authors
Cungen Cao
Yuefei Sui
Zaiyue Zhang
Copyright Year
2003
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-39205-X_50