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ECAI
2010
Springer

Majority Merging: from Boolean Spaces to Affine Spaces

13 years 4 months ago
Majority Merging: from Boolean Spaces to Affine Spaces
Abstract. This paper is centered on the problem of merging (possibly conflicting) information coming from different sources. Though this problem has attracted much attention in propositional settings, propositional languages remain typically not expressive enough for a number of applications, especially when spatial information must be dealt with. In order to fill the gap, we consider a (limited) firstorder logical setting, expressive enough for representing and reasoning about information modeled as half-spaces from metric affine spaces. In this setting, we define a family of distance-based majority merging operators which includes the propositional majority operator dH , P . We identify a subclass of interpretations of our representation language for which the result of the merging process can be computed and expressed as a formula.
Jean-François Condotta, Souhila Kaci, Pierr
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where ECAI
Authors Jean-François Condotta, Souhila Kaci, Pierre Marquis, Nicolas Schwind
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