In the process of vehicle interior sound quality research, the subjective assessment usually requires a lot of manpower, time and material resources. It is necessary to choose appropriate objective indexes to predict the subjective results. In this paper, a sound quality evaluation index analysis and selection scheme based on grey relational analysis (GRA) is designed. In order to make a reasonable prediction of the subjective indexes with the limited data, GRA of the objective indexes and subjective indexes is conducted. Because three subjective indexes are considered in our study, an indicator that can represent the three chosen subjective indexes is established for the subsequent analysis. Furthermore, the comprehensive ranking and the hierarchical cluster analysis (HCA) of the objective indexes are involved to make the selection of objective indexes easy and meaningful. Finally, the objective indexes are divided into five groups by HCA. According to the clustering results, four objective indexes including “fluctuation”, “sharpness”, “articulation index” and “roughness” are suitable for predicting and representing the subjective indexes to some degree. The scheme proposed in this paper lays the foundation for further optimization and control of vehicle interior sound quality. The method can also be applied to solve other similar multi-factor analysis and selection problems.

中文翻译：

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基于灰色关联分析的车内声品质评价指标选择方案

在汽车内饰音质研究过程中，主观评价通常需要大量的人力、时间和物力。有必要选择合适的客观指标来预测主观结果。本文设计了一种基于灰色关联分析（GRA）的音质评价指标分析与选择方案。为了在有限的数据下对主观指标做出合理的预测，对客观指标和主观指标进行了GRA。由于我们在研究中考虑了三个主观指标，因此建立了一个可以代表所选择的三个主观指标的指标，以供后续分析。此外，结合客观指标的综合排序和层次聚类分析（HCA），使客观指标的选取变得简单而有意义。最后，通过HCA将客观指标分为五组。根据聚类结果，“波动”、“锐度”、“清晰度指标”和“粗糙度”四个客观指标在一定程度上适合预测和表示主观指标。本文提出的方案为进一步优化和控制车内音质奠定了基础。该方法还可用于解决其他类似的多因素分析和选择问题。“波动”、“锐度”、“清晰度指标”和“粗糙度”四个客观指标在一定程度上适合预测和表示主观指标。本文提出的方案为进一步优化和控制车内音质奠定了基础。该方法还可用于解决其他类似的多因素分析和选择问题。“波动”、“锐度”、“清晰度指标”和“粗糙度”四个客观指标在一定程度上适合预测和表示主观指标。本文提出的方案为进一步优化和控制车内音质奠定了基础。该方法还可用于解决其他类似的多因素分析和选择问题。