In this paper, a multilevel fuzzy comprehensive evaluation (FCE) model consisting of tactile comfort and four primary handle characteristics (FPHCs) is developed. The physiological perceptions of 30 home textile fabrics were predicted, to verify the practicability of the FCE model and the reliability of the objective measurement based on the self-developed Quick-Intelligent Handle Evaluation System (QIHES). Moreover, comparisons between the FCE model and subjective evaluation of the FPHCs and total handle value (THV) were investigated. The results showed that the values of the coefficients of determination (R2) and the slopes of linear correlation functions were approximate to 1, which revealed that the results of the FCE model and subjective evaluation were highly consistent, and the FCE model established was accurate. In addition, the performance of the soft fabrics depends on the combined effect of the properties of three directions. It has been confirmed that the fullness, stiffness and roughness are important factors that affect THV together. Thus, the FCE method based on the QIHES measurement was demonstrated to be effective and reliable, could be applied for assessing tactile comfort and estimating human feel when touching textiles and soft materials.

中文翻译：

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一种新型手感评价系统测量及多级模糊综合预测软材料舒适度参数

在本文中，开发了一种由触觉舒适度和四个主要手柄特征（FPHC）组成的多级模糊综合评估（FCE）模型。对30种家纺面料的生理感知进行了预测，验证了基于自主研发的快速智能手感评估系统（QIHES）的FCE模型的实用性和客观测量的可靠性。此外，还研究了 FCE 模型与 FPHC 的主观评价和总处理值 (THV) 之间的比较。结果表明，决定系数(R2)和线性相关函数的斜率均接近于1，说明FCE模型的结果与主观评价的结果高度一致，所建立的FCE模型是准确的。此外，柔软面料的性能取决于三个方向性能的综合作用。已经证实丰满度、刚度和粗糙度是共同影响THV的重要因素。因此，基于 QIHES 测量的 FCE 方法被证明是有效和可靠的，可用于评估触觉舒适度和估计人体接触纺织品和柔软材料时的感觉。