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\({\mathcal R}o{\mathcal S}y\): A Rough Knowledge Base System

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3642))

Abstract

This paper presents a user-oriented view of \({\mathcal R}o{\mathcal S}y\), a \({\mathcal R}{\rm ough}\) Knowledge Base \({\mathcal S}\)ystem. The system tackles two problems not fully answered by previous research: the ability to define rough sets in terms of other rough sets and incorporation of domain or expert knowledge. We describe two main components of \({\mathcal R}o{\mathcal S}y\): knowledge base creation and query answering. The former allows the user to create a knowledge base of rough concepts and checks that the definitions do not cause what we will call a model failure. The latter gives the user a possibility to query rough concepts defined in the knowledge base. The features of \({\mathcal R}o{\mathcal S}y\) are described using examples. The system is currently available on a web site for online interactions.

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© 2005 Springer-Verlag Berlin Heidelberg

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Andersson, R., Vitória, A., Małuszyński, J., Komorowski, J. (2005). \({\mathcal R}o{\mathcal S}y\): A Rough Knowledge Base System. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548706_6

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  • DOI: https://doi.org/10.1007/11548706_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28660-8

  • Online ISBN: 978-3-540-31824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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