Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7372856 | Mathematical Social Sciences | 2018 | 26 Pages |
Abstract
The GAI (Generalized Additive Independence) model proposed by Fishburn is a generalization of the additive value function model, which need not satisfy preferential independence. Its great generality makes however its application and study difficult. We consider a significant subclass of GAI models, namely the discrete 2-additive GAI models, and provide for this class a decomposition into nonnegative monotone terms. This decomposition allows a reduction from exponential to quadratic complexity in any optimization problem involving discrete 2-additive models, making them usable in practice.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Michel Grabisch, Christophe Labreuche,