Measuring and multilevel fuzzy comprehensive predicting comfort parameters of soft materials by a new handle evaluation system

Abstract

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.