Ontological framework for approximation

Authors:
Jarosław Stepaniuk;Andrzej Skowron
Affiliations:
Department of Computer Science, Białystok University of Technology, Białystok, Poland;Institute of Mathematics, Warsaw University, Warsaw, Poland
Venue:
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Year:
2005

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Abstract

We discuss an ontological framework for approximation, i.e., to approximation of concepts and vague dependencies specified in a given ontology. The presented approach is based on different information granule calculi. We outline the rough–fuzzy approach for approximation of concepts and vague dependencies.