Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study
作者：
Highlights：
• We propose a novel and systematic way of building causal decision support models.
• Our approach combines probabilistic and multi-criteria decision making tools.
• The resulting models are based on knowledge elicited from multiple experts.
• The model's consistency with expert knowledge is evaluated by sensitivity analysis.
• The proposed approach is applied to a supplier selection case study.
摘要
•We propose a novel and systematic way of building causal decision support models.•Our approach combines probabilistic and multi-criteria decision making tools.•The resulting models are based on knowledge elicited from multiple experts.•The model's consistency with expert knowledge is evaluated by sensitivity analysis.•The proposed approach is applied to a supplier selection case study.
论文关键词：Bayesian networks,DEMATEL,Multiple criteria decision making,Supplier selection
论文评审过程：Received 16 April 2018, Revised 17 May 2019, Accepted 29 May 2019, Available online 30 May 2019, Version of Record 8 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.053
