Title
Bipolar preference problems: framework, properties and solving techniques
Abstract
Real-life problems present several kinds of preferences. We focus on problems with both positive and negative preferences, that we call bipolar preference problems. Although seemingly specular notions, these two kinds of preferences should be dealt with differently to obtain the desired natural behaviour. We technically address this by generalizing the soft constraint formalism, which is able to model problems with one kind of preferences. We show that soft constraints model only negative preferences, and we define a new mathematical structure which allows to handle positive preferences as well. We also address the issue of the compensation between positive and negative preferences, studying the properties of this operation. Finally, we extend the notion of arc consistency to bipolar problems, and we show how branch and bound (with or without constraint propagation) can be easily adapted to solve such problems.
Year
DOI
Venue
2006
10.1007/978-3-540-73817-6_5
CSCLP
Keywords
Field
DocType
arc consistency,negative preference,model problem,constraint propagation,natural behaviour,bipolar preference problem,soft constraint formalism,positive preference,soft constraints model,new mathematical structure,branch and bound
Mathematical optimization,Branch and bound,Local consistency,Mathematical structure,Generalization,Formalism (philosophy),Mathematics
Conference
Volume
ISSN
ISBN
4651
0302-9743
3-540-73816-9
Citations 
PageRank 
References 
16
1.06
9
Authors
4
Name
Order
Citations
PageRank
Stefano Bistarelli11317105.40
Maria Silvia Pini235330.28
Francesca Rossi32067176.42
K. Brent Venable416213.58