A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making
作者：
Highlights：
• Multi-dimensional sensitivity analysis is crucial in multi-criteria decision making.
• Natural language generation techniques increase understanding and traceability.
• Explanatory concept for multi-dimensional sensitivity analysis developed.
• Concept validation by experts and online survey.
• Results show that concept enhances understanding notably in complex situations.
摘要
•Multi-dimensional sensitivity analysis is crucial in multi-criteria decision making.•Natural language generation techniques increase understanding and traceability.•Explanatory concept for multi-dimensional sensitivity analysis developed.•Concept validation by experts and online survey.•Results show that concept enhances understanding notably in complex situations.
论文关键词：Decision support systems,Multiple criteria analysis,Preferential uncertainty modelling,Natural language generation,Multi-dimensional sensitivity analysis
论文评审过程：Received 27 October 2016, Revised 19 April 2017, Accepted 20 April 2017, Available online 21 April 2017, Version of Record 26 April 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.041
