Currently,China is vigorously advocating the integration of innovative technology into daily life to enhance the innovative capabilities of various industries.In response to this strategic development,policies centered around innovation are continuously being implemented.The evaluation of innovative design industry policies can fill the gap in policy evaluation at the city level.In response to issues such as the lack of standardized methods,scattered information,and incomplete sharing mechanisms in Shanghai's innovative design policies,this study combined expert experience to develop a knowledge fusion node for innovative design policies and used machine learning algorithms for parameter training.Using Shanghai's design industry and design policies as empirical study,this paper expanded methods for evaluating,diagnosing,and predicting innovative policies.Accordingly,the study proposed corresponding optimization paths and feasible recommendations for future innovative design policies in Shanghai.
关键词
专家知识融合方法/设计产业政策/政策评价/Dempster-Shafer证据理论/设计产业
Key words
Expert knowledge fusion method/Innovative design industry policy/Policy evaluation/Dempster-Shafer evidence theory/Design industry
维普
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