This study uses fuzzy computing theory to explore the impact of semantic and semiotic features of furniture shape design on Chinese consumers’ preferences and provides a possible reference for designers. In the early stage of relevant research on design, an integrated consumer survey is conducted on furniture form design, and the correlation between the semantic and semiotic features of furniture form design and the semantics and symbols preferred by consumers is invested in the early stage of research and development of furniture design. At the same time, linear regression analysis method is used to analyze the correlation of consumer preference based on the semantic and semiotic features of furniture shape design, and the mathematical function relationship is established to predict the variables of consumer preference. This study is helpful to understand consumers’ preference for furniture, so as to carry out relevant design, improve consumers’ purchase intention, promote the sale of furniture, and thus become a successful design.