Formal rough concept analysis

Jamil Saquer; Jitender S. Deogun

doi:10.1007/978-3-540-48061-7_13

Formal rough concept analysis

Jamil Saquer, Jitender S. Deogun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

56 Scopus citations

Abstract

In this paper, we present a novel approach for approximating concepts in the framework of formal concept analysis. Two main problems are investigated. The first, given a set A of objects (or a set B of features), we want to find a formal concept that approximates A (or B). The second, given a pair (A,B), where A is a set of objects and B is a set of features, the objective is to find formal concepts that approximate (A,B). The techniques developed in this paper use ideas from rough set theory. The approach we present is different and more general than existing approaches.

Original language	English (US)
Title of host publication	New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings
Editors	Setsuo Ohsuga, Ning Zhong, Andrzej Skowron
Publisher	Springer Verlag
Pages	91-99
Number of pages	9
ISBN (Print)	3540666451, 9783540666455
DOIs	https://doi.org/10.1007/978-3-540-48061-7_13
State	Published - 1999
Externally published	Yes
Event	7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 - Yamaguchi, Japan Duration: Nov 9 1999 → Nov 11 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1711
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999
Country/Territory	Japan
City	Yamaguchi
Period	11/9/99 → 11/11/99

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-48061-7_13

Cite this

Saquer, J., & Deogun, J. S. (1999). Formal rough concept analysis. In S. Ohsuga, N. Zhong, & A. Skowron (Eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings (pp. 91-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1711). Springer Verlag. https://doi.org/10.1007/978-3-540-48061-7_13

Formal rough concept analysis. / Saquer, Jamil; Deogun, Jitender S.
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. ed. / Setsuo Ohsuga; Ning Zhong; Andrzej Skowron. Springer Verlag, 1999. p. 91-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1711).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Saquer, J & Deogun, JS 1999, Formal rough concept analysis. in S Ohsuga, N Zhong & A Skowron (eds), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1711, Springer Verlag, pp. 91-99, 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999, Yamaguchi, Japan, 11/9/99. https://doi.org/10.1007/978-3-540-48061-7_13

Saquer J, Deogun JS. Formal rough concept analysis. In Ohsuga S, Zhong N, Skowron A, editors, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. Springer Verlag. 1999. p. 91-99. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-48061-7_13

Saquer, Jamil ; Deogun, Jitender S. / Formal rough concept analysis. New Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings. editor / Setsuo Ohsuga ; Ning Zhong ; Andrzej Skowron. Springer Verlag, 1999. pp. 91-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Formal rough concept analysis

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