A fuzzy approach for approximating formal concepts

Jamil Saquer; Jitender S. Deogun

doi:10.1007/3-540-45554-X_32

A fuzzy approach for approximating formal concepts

Jamil Saquer, Jitender S. Deogun

Computer Science and Engineering

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

1 Scopus citations

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)
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	https://doi.org/10.1007/3-540-45554-X_32
State	Published - 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)
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
Country/Territory	Canada
City	Banff
Period	10/16/00 → 10/19/00

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45554-X_32

Cite this

Saquer, J., & Deogun, J. S. (2001). A fuzzy approach for approximating formal concepts. In W. Ziarko, & Y. Yao (Eds.), 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.
Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. ed. / Wojciech Ziarko; Yiyu Yao. Springer Verlag, 2001. p. 269-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2005).

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

Saquer, J & Deogun, JS 2001, A fuzzy approach for approximating formal concepts. in W Ziarko & Y Yao (eds), 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

Saquer J, Deogun JS. A fuzzy approach for approximating formal concepts. In Ziarko W, Yao Y, editors, Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. Springer Verlag. 2001. p. 269-276. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45554-X_32

Saquer, Jamil ; Deogun, Jitender S. / A fuzzy approach for approximating formal concepts. Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. editor / Wojciech Ziarko ; Yiyu Yao. Springer Verlag, 2001. pp. 269-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A fuzzy approach for approximating formal concepts

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