Multi-cultural Image Color Design Evaluation Methods for Creative Products of Tourism Culture
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摘要: 为了使旅游文化创意产品更好得承载文化意象,需要通过计算机辅助技术来优化和评价设计方案,匹配色彩与多文化意象之间的关系,提高设计效率。本文通过结合灰关联分析法(GRA)和逼近理想解法(TOPSIS),利用梯形模糊数以描述用户对旅游文化创意产品配色方案中文化元素的文化意象偏好,提出了基于灰关联分析-逼近理想解排序法的旅游文化创意产品色彩设计方案评价方法。Abstract: In order to make tourism cultural creative products better carry cultural imagery, it has to use computer-aided technology to optimize and evaluate the design plan, match the relationship between color and multicultural imagery, improve design efficiency. By combining grey relational analysis and approaching ideal solutions, using trapezoidal fuzzy numbers to describe users′ cultural image preferences for cultural elements in the color scheme of tourism cultural creative products, this paper proposes a tourism cultural creativity based on grey relational analysis-approximate ideal solution sorting method Evaluation method of product color design scheme.
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Key words:
- color design /
- cultural image /
- evaluation /
- TOPSIS /
- GRA
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表 1 启瓶器方案和参考汉服的用户意象评价(宽博大气)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.3, 0.4, 0.5, 0.6) 2 (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 3 (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 4 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 5 (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 6 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 7 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 8 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 9 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 10 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 表 2 启瓶器方案和参考汉服的用户意象评价(自然含蓄)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) 2 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) 3 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) 4 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) 5 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.3, 0.4, 0.5, 0.6) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) 6 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) 7 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) 8 (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) 9 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) 10 (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) 表 3 启瓶器方案和参考汉服的用户意象评价(飞动流转)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 2 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 3 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 4 (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 5 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) 6 (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 7 (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) 8 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) 9 (0.5, 0.6, 0.6, 0.7) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) (0.5, 0.6, 0.6, 0.7) (0.8, 0.9, 0.9, 1) (0.8, 0.9, 0.9, 1) (0.5, 0.6, 0.6, 0.7) 10 (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.8, 0.9, 0.9, 1) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.6, 0.7, 0.8, 0.9) (0.5, 0.6, 0.6, 0.7) 表 4 评价数据反模糊化(宽博大气)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 0.90 0.75 0.90 0.75 0.75 0.75 0.75 0.90 0.45 2 0.75 0.60 0.75 0.75 0.60 0.60 0.90 0.90 0.60 3 0.75 0.60 0.60 0.60 0.75 0.75 0.75 0.90 0.60 4 0.90 0.75 0.75 0.60 0.60 0.75 0.75 0.90 0.60 5 0.75 0.60 0.75 0.60 0.75 0.75 0.90 0.90 0.60 6 0.75 0.75 0.90 0.75 0.60 0.60 0.75 0.90 0.60 7 0.75 0.75 0.75 0.75 0.60 0.60 0.90 0.90 0.75 8 0.90 0.75 0.75 0.75 0.60 0.75 0.75 0.90 0.60 9 0.90 0.75 0.75 0.60 0.75 0.60 0.90 0.90 0.75 10 0.75 0.75 0.75 0.75 0.60 0.75 0.75 0.90 0.75 表 5 评价数据反模糊化(自然含蓄)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 0.75 0.90 0.60 0.60 0.75 0.75 0.90 0.60 0.90 2 0.90 0.75 0.60 0.75 0.75 0.60 0.75 0.75 0.90 3 0.90 0.75 0.75 0.60 0.75 0.75 0.90 0.75 0.75 4 0.90 0.75 0.60 0.75 0.75 0.75 0.90 0.60 0.75 5 0.75 0.75 0.45 0.60 0.75 0.75 0.75 0.75 0.75 6 0.90 0.75 0.60 0.60 0.90 0.75 0.90 0.60 0.90 7 0.90 0.75 0.60 0.60 0.75 0.75 0.75 0.60 0.75 8 0.90 0.75 0.75 0.60 0.60 0.75 0.90 0.60 0.90 9 0.75 0.75 0.60 0.60 0.75 0.75 0.75 0.75 0.75 10 0.90 0.90 0.60 0.60 0.75 0.75 0.90 0.60 0.75 表 6 评价数据反模糊化(飞动流转)
序号 评价对象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 1 0.60 0.60 0.90 0.60 0.90 0.75 0.75 0.90 0.75 2 0.75 0.75 0.90 0.60 0.90 0.90 0.60 0.90 0.75 3 0.75 0.75 0.90 0.75 0.75 0.75 0.90 0.90 0.60 4 0.75 0.60 0.90 0.60 0.75 0.75 0.75 0.90 0.75 5 0.75 0.75 0.90 0.75 0.75 0.75 0.75 0.75 0.75 6 0.60 0.60 0.90 0.60 0.75 0.75 0.90 0.90 0.60 7 0.75 0.60 0.75 0.60 0.75 0.75 0.75 0.75 0.60 8 0.75 0.75 0.90 0.75 0.90 0.90 0.75 0.90 0.75 9 0.60 0.75 0.75 0.75 0.60 0.60 0.90 0.90 0.60 10 0.75 0.75 0.90 0.75 0.75 0.75 0.75 0.75 0.60 表 7 评价数据均值化
文化意象 方案1 方案2 方案3 方案4 方案5 方案6 汉服1 汉服2 汉服3 宽博大气 0.800 0.705 0.765 0.690 0.660 0.690 0.810 0.900 0.630 自然含蓄 0.855 0.780 0.615 0.630 0.750 0.735 0.840 0.660 0.810 飞动流转 0.705 0.690 0.870 0.675 0.780 0.765 0.780 0.855 0.675 表 8 灰关联度计算结果
方案编号 灰关联度 正理想解 负理想解 汉服1 汉服2 汉服3 1 0.696 4 0.743 4 0.762 1 0.738 3 0.689 9 2 0.760 3 0.696 8 0.735 2 0.760 3 0.757 8 3 0.697 4 0.718 4 0.695 1 0.764 5 0.748 9 4 0.725 0 0.716 0 0.751 3 0.745 5 0.732 3 5 0.696 5 0.697 9 0.749 2 0.704 1 0.695 5 6 0.701 6 0.715 2 0.814 8 0.710 6 0.743 6 -
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