This paper presents a new method for modeling the relationship between objective and subjective fabric hand evaluations and between adjusting parameters of fabric production and objective fabric hand features. In this method, fuzzy techniques, principal component analysis and other data analysis techniques are applied and human knowledge on fabric production and numerical data measured on instruments are used in a complementary way for selecting relevant physical features and extracting fuzzy rules. The effectiveness of this method has been shown through a number of knitted cotton samples.