Logical formalisms for representing bipolar preferences

Authors:
Souhila Kaci
Affiliations:
Centre de Recherche en Informatique de Lens (C.R.I.L.)—C.N.R.S., Rue de l'Université SP 16, 62307 Lens Cedex, France
Venue:
International Journal of Intelligent Systems
Year:
2008

Citing 0
Cited 4

Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology

Information Sciences: an International Journal
Preferences in AI: An overview

Artificial Intelligence
A multimeasure approach to optimism and pessimism in multiple criteria decision analysis based on Atanassov fuzzy sets

Expert Systems with Applications: An International Journal
Mathematical morphology on bipolar fuzzy sets: general algebraic framework

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bipolar preferences distinguish between negative preferences inducing what is acceptable by complementation and positive preferences representing what is really satisfactory. This article provides a review of the main logics for preference representation. Representing preferences in a bipolar logical way has the advantage of enabling us to reason about them, while increasing their expressive power in a cognitively meaningful way. In the article, we first focus on the possibilistic logic setting and then discuss two other logics: qualitative choice logic and penalty logic. Finally, an application of bipolar preferences querying systems is outlined. © 2008 Wiley Periodicals, Inc.