A fuzzy approach for approximating formal concepts

Jamil Saquer, Jitender S Deogun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationRough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers
EditorsWojciech Ziarko, Yiyu Yao
PublisherSpringer Verlag
Pages269-276
Number of pages8
ISBN (Print)3540430741, 9783540430742
DOIs
StatePublished - Jan 1 2001
Event2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, Canada
Duration: Oct 16 2000Oct 19 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2005
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000
CountryCanada
CityBanff
Period10/16/0010/19/00

Fingerprint

Formal concept analysis
Fuzzy sets
Formal Concept Analysis
Rough Set
Fuzzy Sets
Concepts
Approximation
Object

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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 proceedingConference 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)). https://doi.org/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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