Add to ORKGIn this paper we discuss the Choquet integral model in the realm of Preference Learning, and point out advantages of learning simultaneously partial utility functions and capacities rather than sequentially, i.e., first utility functions and then capacities or vice-versa. Moreover, we present possible interpretation s of the Choquet integral model in Preference Learning based on Shapley values and interaction indices
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
In the context of Multiple Criteria Decision aiding (MCDA), we present necessary conditions to obtai...
In this paper we discuss the Choquet integral model in the realm of Preference Learning, and point o...
peer reviewedIn this paper we discuss the Choquet integral model in the realm of Preference Learning...
The current approaches to construct a multi-criteria model based on a Choquet integral are split int...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
© 2020 by the authors; licensee Growing Science, Canada.This study considers representing decision m...
We present a model allowing to determine the weights related to interacting criteria. This is done o...
The application of multi-attribute utility theory whose aggregation process is based on the Choquet ...
Choquet integrals and capacities play a crucial role in modern decision theory. Comonotony is a cent...
One basic assumption to consider an additive utility function is the preferential independence. When...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
In the context of Multiple Criteria Decision aiding (MCDA), we present necessary conditions to obtai...
In this paper we discuss the Choquet integral model in the realm of Preference Learning, and point o...
peer reviewedIn this paper we discuss the Choquet integral model in the realm of Preference Learning...
The current approaches to construct a multi-criteria model based on a Choquet integral are split int...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
International audienceThis paper concerns preference elicitation and learning of decision models in ...
© 2020 by the authors; licensee Growing Science, Canada.This study considers representing decision m...
We present a model allowing to determine the weights related to interacting criteria. This is done o...
The application of multi-attribute utility theory whose aggregation process is based on the Choquet ...
Choquet integrals and capacities play a crucial role in modern decision theory. Comonotony is a cent...
One basic assumption to consider an additive utility function is the preferential independence. When...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
International audienceRecent - and less recent - work has been devoted to learning additive value fu...
In the context of Multiple Criteria Decision aiding (MCDA), we present necessary conditions to obtai...