Capturing the uncertainty associated with a decision maker (DM)’s judgments and preferences is one of the most challenging parts of concept design evaluation as it depends on subjective linguistic terms. To address this drawback, we propose a novel approach for concept design evaluation that incorporates Z-number and axiomatic design (AD) concepts. Although pertinent literature advocates for the capture of uncertain information originating from DMs, the relevant need for information reliability has not been addressed. By incorporating Z-numbers, the confidence level of a decision or its reliability is taken into consideration, thus a more comprehensive perception of the DM is recorded. Then, these judgments and preferences are incorporated to AD to select the best design concept. Using data from the published literature, a case study is conducted to assess the impact of information reliability and the DM’s risk attitude with regards to available design options. The proposed approach is also compared with previously developed methods in order to show its benefits. The results demonstrate that the reliability of the information has a significant impact on final results; and assessment of confidence, or reliability of information, enhances the success for better decision-making.

捕获与决策者（DM）的判断和偏好相关的不确定性是概念设计评估中最具挑战性的部分之一，因为它取决于主观语言术语。为了解决这个缺点，我们提出了一种新颖的概念设计评估方法，该方法结合了Z数和公理设计（AD）概念。尽管相关文献提倡捕获来自DM的不确定信息，但尚未解决对信息可靠性的相关需求。通过合并Z数，可以考虑决策的置信度或其可靠性，从而记录了对DM的更全面的感知。然后，将这些判断和偏好合并到AD中以选择最佳设计概念。利用已发表文献中的数据，进行了案例研究，以评估信息可靠性和DM在可用设计方案方面的风险态度的影响。拟议的方法也与以前开发的方法进行了比较，以显示其优势。结果表明，信息的可靠性对最终结果有重大影响；信心的评估或信息的可靠性可以提高成功的水平，从而更好地进行决策。