文章摘要
宁廷州,葛美芹.考虑用户共识的包装机械色彩意象模糊优选方法[J].包装工程,2020,41(4):171-176.
考虑用户共识的包装机械色彩意象模糊优选方法
Fuzzy Evaluation Method for Packaging Machinery Color Image Design by Considering Users’ Consensus
投稿时间:2019-10-16  修订日期:2020-02-20
DOI:10.19554/j.cnki.1001-3563.2020.04.021
中文关键词: 色彩意象  用户共识  模糊评价  包装机械  逼近理想解排序法  灰关联分析法
英文关键词: color image  users’ consensus  fuzzy evaluation  packaging machinery  TOPSIS  GRA
基金项目:枣庄市科技计划项目(2019GX10);枣庄学院博士科研启动基金项目(2018BS030)
作者单位
宁廷州 枣庄学院机电工程学院枣庄 277160 
葛美芹 枣庄学院机电工程学院枣庄 277160 
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中文摘要:
      目的 提高包装机械色彩意象评价的科学性和客观性。方法 考虑到包装机械色彩意象评价中的用户认知模糊性和差异性问题,利用梯形模糊数表达用户感性偏好,建立包装机械色彩意象模糊评价矩阵,通过构建用户感性评价共识度模型,对用户评价结果进行共识度评判与处理,提高用户感性意象评价的一致性水平。结合逼近理想解排序法和灰关联分析法对包装机械色彩意象评价结果进行排序,实现包装机械色彩方案的模糊评价和优选。结果 实例分析表明,用户的认知差异问题切实存在,评价共识度会影响包装机械色彩意象评价结果。结论通过将用户共识纳入包装机械色彩意象评价过程,可以减小用户认知差异带来的影响,提高包装机械色彩意象评价质量。
英文摘要:
      The work aims to improve the scientificity and objectivity of color image evaluation for packaging ma-chinery. Considering the fuzziness and difference of users’ perception in color image evaluation of packaging machinery, the trapezoidal fuzzy number was used to express users’ perceptual preference, and establish the fuzzy evaluation matrix of packaging machinery color image. By constructing the users’ perceptual evaluation consensus model, the users’ evalu-ation results were judged and processed to improve the consistency level of users’ perceptual image evaluation. Combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA), the results of color image evaluation of packaging machinery were sorted to realize the fuzzy evaluation and optimization of color scheme of packaging machinery. The case analysis showed that the problem of users’ cognitive difference existed indeed, and the evaluation consensus affected the evaluation results of packaging machinery color image. By incorporating users’ consensus into the process of color image evaluation of packaging machinery, the impact of users’ cognitive differences can be reduced and the quality of color image evaluation of packaging machinery can be improved.
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