The method of fuzzy comprehensive evaluation is used to solve the problem of grading fabric softness. Fabric mechanical properties that are regarded as determining fabric softness are measured with the KES-FB instruments. Statistical methods of ANOVA and factor analysis are suggested to determine the weighting-factor vector A, and the fuzzy conversion matrix U is formed on an assumption of linear membership function. Correlation of fuzzy evaluation, subjective evaluation, and the Kawabata primary hand evaluation is estimated statistically. The established fuzzy models focus particularly on for pure cotton and 50/50 cotton/polyester blended fabrics, and the results encourage further investigation for industrial implementation.
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