Abstract: The product semantics comparison method (SCM), which is composed of product semantics (PS) classification, arrangement and evaluation, is proposed by analyzing the PS identification mechanism. Taking industrial sewing machines as object, an identification experiment is conducted by using semantics differential method (SDM) and SCM respectively. The experimental results show that the linear model is more accurate than the nonlinear one in describing the relationship between four factors’ PS and product whole PS. Hereby, the linear models of SCM and SDM are established, and both models’ accuracies are analyzed. The analytical results show that the linear models’ error of SCM and SDM are 0.450i and 0.572i respectively. In addition, four factors can explain 91.0% and 87.2% changes of whole PS in the linear models of SCM and SDM. The results indicate that, SCM is more accurate than SDM and can be expected to gain wide application in product design.

Key words: Product semantics identification, Semantics comparison method, Semantics differential method