### 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) |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |

Publisher | Springer Verlag |

Pages | 91-99 |

Number of pages | 9 |

Volume | 1711 |

ISBN (Print) | 3540666451, 9783540666455 |

DOIs | |

State | Published - 1999 |

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) |
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Volume | 1711 |

ISSN (Print) | 03029743 |

ISSN (Electronic) | 16113349 |

### Other

Other | 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 |
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Country | Japan |

City | Yamaguchi |

Period | 11/9/99 → 11/11/99 |

### Fingerprint

### ASJC Scopus subject areas

- Computer Science(all)
- Theoretical Computer Science

### Cite this

*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)*(Vol. 1711, 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.

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

*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).*vol. 1711, 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

}

TY - GEN

T1 - Formal rough concept analysis

AU - Saquer, Jamil

AU - Deogun, Jitender S

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84958053871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958053871&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-48061-7_13

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

M3 - Conference contribution

SN - 3540666451

SN - 9783540666455

VL - 1711

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 91

EP - 99

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -