Open AccessResearch on the Pricing of Chinese Artwork Based on Unascertained Measure and GM (1, N) Model
Author(s) -
Dian Tang,
Hongqian Chen,
Ziyi Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012066
Subject(s) - measure (data warehouse) , art market , chinese art , fuzzy logic , computer science , econometrics , mathematical economics , artificial intelligence , economics , data mining , china , art , political science , visual arts , law
The Chinese art market has developed rapidly in recent years, but the problem of fuzzy and irregular art pricing has always perplexed the participants in the art market. This article proposes a new idea of dividing the influence factors of artworks according to the static and dynamic dimensions, so as to study the attributes and external factors of artworks and analyse the causes of price fluctuations of artworks better. The pricing model proposed in this paper applies the Unascertained Measure Model to the comprehensive evaluation of static attributes of artworks. In addition, the GM (1, N) Model is constructed by combining the static attribute comprehensive evaluation score with other dynamic influencing factors, so that the model has the characteristics of qualitative and quantitative combination, scientific and objective. Finally, this paper proves the validity of the model through empirical research.