Welcome to Journal of Graphics share: 

Journal of Graphics

Previous Articles     Next Articles

Method for cultural feature extraction based on rank correlation and entropy weight

  

  1. (School of Design, Jiangnan University, Wuxi Jiangsu 214122, China)
  • Online:2020-08-31 Published:2020-08-22
  • Supported by:
    Fundament Research Funds for the Central University (JUSRP120109); Jiangsu Education Science 13-5 Task (B-a/2016/01/20)

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