MlCHEL GRABISCH

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It is well known that the main tool for finding dependencies among data is the linear regression model, which expresses one or several variables in term of a linear combination of the others. Linear regression is based on the least square principle, and has been studied at length, its statistical performance are well known. In real situations however, the(More)
Until now, decision under uncertainty and multicriteria decision making have been investigated separately and almost independently, although there is a close link between both fields. Decision theory is also closely related to measurement theory. Besides, it is well known that additive representations in decision making are not sufficient to avoid paradoxes(More)
It is a very natural process for the mind to order objects of a set. To achieve this, we intuitively assign values (they can be real values, qualitative values like "good", "bad" or more generally lattice values) that are easy to handle and to compare. The general theory for this is measurement theory that aims to give general conditions on the set X of(More)
We propose a new axiomatization of the Shapley value for cooperative games, where symmetry and efficiency can be discarded and replaced with new natural axioms. From any game, an excluded-player game is built by discarding all coalitions that contain a fixed player. Then it is shown that the Shapley value is the unique value satisfying the linearity axiom,(More)
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