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基于感性语意模糊因子评价的图案设计 源码特征集筛选

  

  1. (1. 贵州大学机械工程学院,贵州 贵阳 550025; 
    2. 世纪龙信息网络有限公司,广东 广州 510000)
  • 出版日期:2019-12-31 发布日期:2020-01-20
  • 基金资助:
    国家自然科学基金项目(51865003);黔科合平台人才([2018]5781)

Feature Set Selection of Pattern Design Source Code Based on  Perceptual Semantic Fuzzy Factor Evaluation

  1. (1. School of Mechanical Engineering, Guizhou University, Guiyang Guizhou 550025, China;
    2. 21CN, Ghuangzhou Guangdong 510000, China)
  • Online:2019-12-31 Published:2020-01-20

摘要: 目前感性研究多从意象到设计特征正面探究设计问题,缺乏从意象诱因设计源码 反向推理的感性研究,为此提出一种从用户角度出发并结合感性模糊因子评价与聚类分析的反 向意象诱因设计源码筛选方法,以提取引发用户感性意象的图案设计源码特征。首先筛选数据 样本以建立样本感性语义空间,通过契合评价法筛选出基础因子。其次运用模糊因子评价确定 因子权重,从而能获取图案集的评价及可靠度,并以因子为评价准则结合聚类分析筛选出图案 设计源码特征集。最后通过 T 检验验证该方法的有效性与可行性,并以苗族服饰图案为对象进 行了实例研究。研究结果表明,该方法基于感性认知理论基础能够有效地指导设计源码特征集 的建立。

关键词: 感性意象, 设计源码, 聚类分析, 模糊因子评价, 样本源码意象

Abstract: At present, most perceptual research approaches the design issue directly from imagery to design features, while we are lack of such perceptual research characteristic of backward induction based on the design source code ofimage inducement. For the sake of the user and through combining perceptual fuzzy factor evaluation and cluster analysis, this paper puts forward a method of screening the design source code of backward image inducement, extracting the feature of pattern design source code which triggers the user’s perceptual image. Firstly, the data samples are screened to establish a sample perceptual semantic space, and the basic factors are selected by the fit evaluation method. Secondly, the fuzzy factor evaluation is used to determine the evaluation and reliability of the factor weight acquisition pattern set, and the pattern design source code feature set is screened with the factor taken as the evaluation criterion in combination with the cluster analysis. Finally, the validity and feasibility of the method are verified by T-test, taking the Miao costume pattern as a case study. The results show that the method can effectively guide the establishment of the source code feature set based on the perceptual cognitive theory.

Key words:  perceptual image, design source code, cluster analysis, fuzzy factor evaluation, sample source image