Journal of Graphics
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Abstract: In the process of developing cultural and creative products of museums, there is no objective and robust method to evaluate and extract design elements. In this context, this paper proposed a design method for the extraction and application of cultural features from museum artifacts based on rank correlation and entropy weight method. First, select the artifacts to disassemble their explicit and implicit features, and then establish a cultural feature interpretation table. At the same time, analyze the users and collect pairs of sensible words about user experience, so as to perform cluster analysis. Next, the sensible word pairs and the factors of extensibility and discernibility in explicit features were taken as indicators for evaluation. The rank correlation method was used to implement weight analysis and comprehensive evaluation, and the ranking of cultural feature goodness was obtained. Then the entropy weight method was used to figure out the key feature category. Finally, based on the key features and feature goodness rank, the optimal design was generated through the intersection, reorganization and metaphor of the elements. In conclusion, through an example of a smart reading pen design for children, it is proved that this method can improve the efficiency in cultural feature extraction and the usefulness of design, and provides an implication for the development of cultural and creative product of the museum.
Key words: museum, cultural and creative, cultural feature, rank correlation analysis, entropy weight
SHANG Zhong-an, CHEN Xiang. Method for cultural feature extraction based on rank correlation and entropy weight[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2020040632.
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URL: http://www.txxb.com.cn/EN/10.11996/JG.j.2095-302X.2020040632
http://www.txxb.com.cn/EN/Y2020/V41/I4/632