Hospital rankings: a new challenge for MCDA and preference learning?
نویسنده
چکیده
The aim of this paper is to convince the MultiCriteria Decision Aid (MCDA) and Preference Learning communities to investigate and to contribute in the development of methodologies dedicated to hospital ranking. To do so, we present the French hospital ranking and show how these rankings can be built properly through two existing methods: decision tree and ELECTRE Tri.
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