An introduction to bipolar representations of information and preference

Dubois, D; Prade, H

An introduction to bipolar representations of information and preference

Dubois, D Prade, H

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Publication Type:: Journal Article
Citation:: International Journal of Intelligent Systems, 2008, 23 (8), pp. 866 - 877
Issue Date:: 2008-08-01

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Field	Value	Language
dc.contributor.author	Dubois, D	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2008-08-01	en_US
dc.identifier.citation	International Journal of Intelligent Systems, 2008, 23 (8), pp. 866 - 877	en_US
dc.identifier.issn	0884-8173	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32522
dc.description.abstract	Bipolarity seems to pervade human understanding of information and preference, and bipolar representations look very useful in the development of intelligent technologies. Bipolarity refers to an explicit handling of positive and negative sides of information. Basic notions and background on bipolar representations are provided. Three forms of bipolarity are laid bare: symmetric univariate, dual bivariate, and asymmetric (or heterogeneous) bipolarity. They can be instrumental in the logical handling of incompleteness and inconsistency, rule representation and extraction, argumentation, learning, and decision analysis. © 2008 Wiley Periodicals, Inc.	en_US
dc.relation.ispartof	International Journal of Intelligent Systems	en_US
dc.relation.isbasedon	10.1002/int.20297	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	An introduction to bipolar representations of information and preference	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	23	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	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.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

Bipolarity seems to pervade human understanding of information and preference, and bipolar representations look very useful in the development of intelligent technologies. Bipolarity refers to an explicit handling of positive and negative sides of information. Basic notions and background on bipolar representations are provided. Three forms of bipolarity are laid bare: symmetric univariate, dual bivariate, and asymmetric (or heterogeneous) bipolarity. They can be instrumental in the logical handling of incompleteness and inconsistency, rule representation and extraction, argumentation, learning, and decision analysis. © 2008 Wiley Periodicals, Inc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/32522