From a possibility theory view of formal concept analysis to the possibilistic handling of incomplete and uncertain contexts

Ait-Yakoub, Z; Djouadi, Y; Dubois, D; Prade, H

From a possibility theory view of formal concept analysis to the possibilistic handling of incomplete and uncertain contexts

Ait-Yakoub, Z Djouadi, Y Dubois, D Prade, H

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Publication Type:: Conference Proceeding
Citation:: CEUR Workshop Proceedings, 2016, 1703 pp. 79 - 88
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Ait-Yakoub, Z	en_US
dc.contributor.author	Djouadi, Y	en_US
dc.contributor.author	Dubois, D	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	CEUR Workshop Proceedings, 2016, 1703 pp. 79 - 88	en_US
dc.identifier.issn	1613-0073	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120154
dc.description.abstract	© 2016, CEUR-WS. All rights reserved. The formal similarity between possibility theory and formal concept analysis, made ten years ago, has suggested the introduction in the latter setting of the counterpart of possibilistic operators, which were ignored before. These new operators can be related to the basic operator of formal concept analysis by a triple use of negations on the contexts, on the set-valued arguments and on the obtained results, and lead to consider new compositions worth of interest. They enable us to complete the Guigues-Duquenne basis with rules having disjunctive conclusions. Besides, the approach can be naturally generalized to incomplete contexts and then to uncertain context where uncertainty is graded.	en_US
dc.relation.ispartof	CEUR Workshop Proceedings	en_US
dc.title	From a possibility theory view of formal concept analysis to the possibilistic handling of incomplete and uncertain contexts	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1703	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1703	en_US

Abstract:

© 2016, CEUR-WS. All rights reserved. The formal similarity between possibility theory and formal concept analysis, made ten years ago, has suggested the introduction in the latter setting of the counterpart of possibilistic operators, which were ignored before. These new operators can be related to the basic operator of formal concept analysis by a triple use of negations on the contexts, on the set-valued arguments and on the obtained results, and lead to consider new compositions worth of interest. They enable us to complete the Guigues-Duquenne basis with rules having disjunctive conclusions. Besides, the approach can be naturally generalized to incomplete contexts and then to uncertain context where uncertainty is graded.

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http://hdl.handle.net/10453/120154