### Abstract

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.

Original language | English (US) |
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Title of host publication | Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers |

Editors | Wojciech Ziarko, Yiyu Yao |

Publisher | Springer Verlag |

Pages | 269-276 |

Number of pages | 8 |

ISBN (Print) | 3540430741, 9783540430742 |

DOIs | |

State | Published - Jan 1 2001 |

Event | 2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, Canada Duration: Oct 16 2000 → Oct 19 2000 |

### 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 | 2005 |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Other

Other | 2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 |
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Country | Canada |

City | Banff |

Period | 10/16/00 → 10/19/00 |

### Fingerprint

### ASJC Scopus subject areas

- Computer Science(all)
- Theoretical Computer Science

### Cite this

*Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers*(pp. 269-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2005). Springer Verlag. https://doi.org/10.1007/3-540-45554-X_32

**A fuzzy approach for approximating formal concepts.** / Saquer, Jamil; Deogun, Jitender S.

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

*Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers.*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2005, Springer Verlag, pp. 269-276, 2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000, Banff, Canada, 10/16/00. https://doi.org/10.1007/3-540-45554-X_32

}

TY - GEN

T1 - A fuzzy approach for approximating formal concepts

AU - Saquer, Jamil

AU - Deogun, Jitender S

PY - 2001/1/1

Y1 - 2001/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=35148878221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35148878221&partnerID=8YFLogxK

U2 - 10.1007/3-540-45554-X_32

DO - 10.1007/3-540-45554-X_32

M3 - Conference contribution

SN - 3540430741

SN - 9783540430742

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

SP - 269

EP - 276

BT - Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers

A2 - Ziarko, Wojciech

A2 - Yao, Yiyu

PB - Springer Verlag

ER -