关键词: 工业设计, 设计方案评价, 共识度, 围绕中心点的划分聚类

Abstract: To improve the reliability of results in industrial design evaluation,a consensus model was established and Partitioning Around Medoids (PAM) clustering algorithm was applied to deal with minority opinions.With PAM,opinions were clustered into several groups and minority opinions were extracted for discussion and communication,which would accelerate convergence of opinions in design evaluation.By researching principles of PAM clustering algorithms,a process to reach consensus in evaluation of industrial design schemes was proposed and outdoor detection equipment was taken as an example to verify the validity of this method.Results reflected that when consensus did not be reached,PAM clustering would help for recognizing minority opinions to promote exchange of ideas and communication,resulting in consensus reaching.The method also showed the superiority compared with K-means clustering.

Key words: industrial design, design evaluation, consensus, partitioning around medoids clustering