大规模用户语义描述需求建模与分析

The semantic description requirements of large-scale users were ambiguous and uncertain, and the correlation between the requirements was complex. In this situation, a modeling and analysis method for semantic description requirements of large-scale users was proposed. On the basis of analyzing the forms and types of semantic description requirements, a requirement model was constructed and a two-stage requirement modeling process was formulated. The requirements were synthesized first. The non-parametric requirements were clustered based on the semantic similarity of perceptual words, and the parametric requirements were clustered based on the similarity of trapezoidal fuzzy numbers corresponding to parametric viewpoints. The semantic description requirements were transformed into standard requirements. The correlations between requirements were evaluated by a two-stage assessment method, the quantities of requirements were corrected and the importance of requirements was calculated accordingly. Key requirements were identified according to the importance of requirements, and users requirement scheme was output. A case study of the modeling and analysis process of large-scale user semantic description requirements for a hand-held vacuum cleaner was conducted. The case study results showed that the method was feasible.