A 2-Additive Choquet Integral Model for French Hospitals Rankings in Weight Loss Surgery

被引：1
|
作者：
Mayag, Brice [1 ]
机构：
[1] Univ Paris 09, PSL Res Univ, CNRS, LAMSADE,UMR 7243, Pl Marechal Lattre Tassigny, F-75775 Paris 16, France
来源：
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT I | 2016年 / 610卷
关键词：
MCDA; Binary alternatives; Hospitals rankings; Choquet integral; Capacity; REPRESENTATION;
D O I：
10.1007/978-3-319-40596-4_10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In a context of Multiple Criteria Decision Aid, we present a decision model explaining some French hospitals rankings in weight loss surgery. To take into account interactions between medical indicators, we elaborated a model based on the 2-additive Choquet integral. The reference subset, defined during the elicitation process of this model, is composed by some specific alternatives called binary alternatives. To validate our approach, we showed that the proposed 2-additive Choquet integral model is able to approximate the hospitals ranking, in weight loss surgery, published by the French magazine "Le Point" in August 2013.
引用
收藏
页码：101 / 116
页数：16
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