Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.mathsocsci.2017.09.007 | Mathematical Social Sciences |
Field | DocType | Volume |
USable,Mathematical economics,Quadratic complexity,Exponential function,Bellman equation,Optimization problem,Mathematics,Monotone polygon,Generality,Decomposition | Journal | 92 |
ISSN | Citations | PageRank |
0165-4896 | 3 | 0.52 |
References | Authors | |
9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michel Grabisch | 1 | 1955 | 184.40 |
Christophe Labreuche | 2 | 709 | 65.78 |