摘要
针对目前运用虚拟仿真技术复原传统服饰文物的效果难以评价,以及评价方法存在盲目性与主观性的问题,文章以青海阿拉尔出土的虚拟复原对羊孔雀纹锦袍为评价对象,采用层次分析法、熵权法和模糊综合评价相结合的方法进行复原效果评价。首先运用层次分析法与熵权法构建对羊孔雀纹锦袍虚拟复原效果评价体系,共设4个一级指标与15个二级指标,计算各个指标的复合权重值;然后建立模糊综合评价矩阵;最后得出锦袍虚拟复原效果评价结果。研究结果表明:层次分析法、熵权法与模糊综合评价可以得出有效的对羊孔雀纹锦袍虚拟复原效果评价结果。该评价方法可以为后续的服饰文物虚拟复原评价提供参考。
Aiming at the problem that the restoration effect of traditional costumes and cultural relics using virtual simulation technology is difficult to evaluate,and the evaluation methods are blind and subjective,the virtual restoration of the opposite sheep and peacock pattern brocade robe unearthed in Aral,Qinghai was taken as the evaluation object,and the combination of analytic hierarchy process and entropy weight method and fuzzy comprehensive evaluation was adopted to evaluate the restoration effect.Firstly,the analytic hierarchy method and the entropy weight method were used to construct the evaluation system of the virtual restoration effect of the opposite sheep and peacock pattern brocade,including 4 first-level indicators and 15 second-level indicators,and gradually the composite weight values of each level and each index was calculated;Then the fuzzy comprehensive evaluation was used to establish an evaluation matrix;Finally,the evaluation results of the virtual restoration effect of the golden robe were calculated.The results show that the analytic hierarchy method,entropy weight method and fuzzy comprehensive evaluation can effectively obtain the evaluation results of the virtual restoration effect of the opposite sheep and peacock pattern brocade robe,and the evaluation method can be used rationally in the subsequent virtual restoration evaluation of clothing and cultural relics.
作者
黄霞
吕钊
陈晨
HUANG Xia;LU Zhao;CHEN Chen(Apparel&Art Design College,Xi′an Polytechnic University,Xi′an,Shaanxi 710048,China)
出处
《毛纺科技》
CAS
北大核心
2023年第4期87-93,共7页
Wool Textile Journal
基金
陕西省艺术科学规划项目(SYZ2021002)。
关键词
虚拟仿真技术
传统服饰
层次分析法
熵权法
模糊综合评价
virtual simulation technology
traditional costumes
analytic hierarchy method
entropy weight method
fuzzy comprehensive evaluation
