Research on modeling image of intelligent toilet based on triangular fuzzy theory and factor analysis

The consumption rate of smart toilets in the Chinese market has been increasing in recent years, and consumers mainly consider whether they can bring convenience to their lives when choosing products. This study aims to explore the evaluation of stylistic imagery of various smart toilets by taking 12 brands with high consumer market share as the research sample, selecting 40 adjectives from 10 consumers, conducting a semantic difference method (SD method) questionnaire survey of general consumers, deriving five groups of adjectives for stylistic imagery of smart toilet structure after the factor analysis method statistics, and designing five groups of adjectives in the second stage questionnaire survey. The results were counted, and then the evaluation scores of the five groups of visual imagery were obtained by using triangular fuzzy number operation.The research results show that each smart toilet has unique modeling imagery, and the imagery evaluation of the appearance of different modeling smart toilets shows small differences in quality and practicality, economics and durability, and large differences in technological innovation and novelty. Some smart toilets have high similarity in overall modeling imagery, and consumers have more possibility of choosing to replace the stronger one in application.In summary, the research results in the subsequent practical application, according to the different modeling imagery, of establishing a relevant database and further designing, according to personal preferences for the modeling imagery of the smart toilet, so that the design can better meet the needs of consumers.