An incremental concept formation approach for learning from databases
Theoretical Computer Science - Special issue on formal methods in databases and software engineering
Rough concept analysis: a synthesis of rough sets and formal concept analysis
Fundamenta Informaticae - Special issue: rough sets
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
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In this paper we present a new approach for approximating concepts in the framework of formal concept analysis. We investigate two different problems. The first, given a set of features B (or a set of objects A), we are interested in finding a formal concept that approximates B (or A). The second, given a pair (A, B), where A is a set of objects and B is a set of features, we are interested in finding a formal concept that approximates (A, B). We develop algorithms for implementing the approximation techniques presented. The techniques developed in this paper use ideas from fuzzy sets. The approach we present is different and simpler than existing approaches which use rough sets.