Grey H-convex correlation model based on combination of Bayes BWM and CRITIC weight
To identify the correlation between the aesthetic of human-machine interface layout and the user visual cog-nition characteristics,provide an objective basis for the optimal design of human-machine interface layout,a grey H-convex correlation model based on the combination of Best Worst Method(BWM)and Criteria Importance Though Intercrieria Correlation method(CRITIC)was proposed.The existing human-machine interface layout aesthetic and the user visual cognition of the factors were sorted out and summarized,and an evaluation index system of human-machine interface layout aesthetic was built.The subjective and objective weights of each evaluation index were de-termined by using Bayesian BWM and CRITIC method,and the comprehensive weights of each evaluation index was obtained by combining game theory.Based on the grey theory,a grey H-convex incidence model was constructed,which quantified the mapping between the aesthetic of human-machine interface layout and user visual cognitive.Finally,the proposed model was applied to the analysis of human-machine interface layout design scheme of Virtual Museum,which fully verified the validity of the model and its ability to judge the positive and negative correlation of the human-machine layout aesthetic index.
grey H-convex incidence degreeinterface layout aestheticvisual cognitiveBayesian best worst methodcriteria importance though intercrieria correlation method
万方数据
维普
