Multi-criteria approach to stochastic and fuzzy uncertainty in the selection of electric vehicles with high social acceptance
作者：
Highlights：
• Developing an approach that combines different types of uncertainty in decision-making.
• Interpretation taking into account the preferences of the society made up of individual users.
• Aggregation into the fuzzy form of many theoretically certain data from various sources.
• Verification of the approach by solving the decision problem of electric vehicles assessment.
• Indication of the relationship between fuzziness, outranking, and stochastic uncertainty.
摘要
•Developing an approach that combines different types of uncertainty in decision-making.•Interpretation taking into account the preferences of the society made up of individual users.•Aggregation into the fuzzy form of many theoretically certain data from various sources.•Verification of the approach by solving the decision problem of electric vehicles assessment.•Indication of the relationship between fuzziness, outranking, and stochastic uncertainty.
论文关键词：Sustainable transportation,Electric vehicles,Uncertainty,Multi-criteria decision aid,Fuzzy sets,Stochastic analysis
论文评审过程：Received 24 July 2020, Revised 6 January 2021, Accepted 4 February 2021, Available online 11 February 2021, Version of Record 2 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114686
