Research Article
CCCAP-Pre: Predicting Price of Artwork Based on GM(1, N, x(1)) Model and Cultural Services
Table 1
Variables and weights of contemporary ceramic artwork price prediction system.
| Variable set | Weight | Variable | Relative weight | Variable weight |
| Physical characteristics of the artwork | 0.269 | Ceramic painting | Dimensions | 0.072 | 0.0194 | Materials | 0.030 | 0.0081 | Craftsmanship | 0.256 | 0.0689 | Modeling | 0.060 | 0.0161 | Themes | 0.104 | 0.0280 | Artistic language | 0.478 | 0.1286 | Ceramic sculpture | Dimensions | 0.112 | 0.0301 | Materials | 0.054 | 0.0145 | Craftsmanship | 0.181 | 0.0487 | Modeling | 0.278 | 0.0748 | Themes | 0.026 | 0.0070 | Artistic language | 0.349 | 0.0939 |
| Ceramist characteristics | 0.417 | Social status | 0.633 | 0.2640 | Personal style | 0.106 | 0.0442 | Age at the time of sale | 0.261 | 0.1089 |
| Added values | 0.121 | Media exposure rate | 0.098 | 0.0119 | Market circulation | 0.186 | 0.0225 | Auction agency | 0.277 | 0.0335 | Art index | 0.439 | 0.0531 |
| Cultural service values | 0.193 | Aesthetic values | 0.380 | 0.0733 | Religious values | 0.036 | 0.0070 | Entertainment values | 0.074 | 0.0143 | Educational values | 0.114 | 0.0220 | Symbolic values | 0.237 | 0.0457 | Inspired values | 0.159 | 0.0307 |
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