Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
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This paper discusses the relationship between formal contexts and set-valued information systems, and indicates that each formal context can be transformed into a set-valued information system. The extensions of the object concepts in a formal context are equivalent to the dominance classes in the set-valued information system induced by the formal context. It is proved that the granular reduct in a formal context is equivalent to the attribute reduct in the set-valued information system. And then a comparative study of the two kinds of reduct in a formal context is presented. Finally the characteristics of three types of granular attributes in a formal context are analyzed.