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Study on the Perception of Car Appearance Based on Fuzzy Inference

机译:基于模糊推理的汽车外观感知研究

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摘要

This paper proposes fuzzy logic to forecast perception values of the combination of different design elements. Firstly it extracts customers' semantic information with semantic difference method; applies GRA analysis to find the key form elements for each perception, and builds the fuzzy membership between the form element and perception. Then it generates a set of fuzzy rules with the most influential form elements based on the 10 representative car samples and calculates the perception values on different combinations of the form design elements by defuzzification.
机译:本文提出了一种模糊逻辑来预测不同设计元素组合的感知值。首先利用语义差异法提取顾客的语义信息。应用GRA分析为每个感知找到关键的表单元素,并在表单元素和感知之间建立模糊成员关系。然后,它基于10个代表性汽车样本生成具有最有影响力的表单元素的一组模糊规则,并通过解模糊来计算对表单设计元素的不同组合的感知值。

著录项

  • 来源
  • 会议地点 Orlando FL(US);Orlando FL(US);Orlando FL(US);Orlando FL(US)
  • 作者单位

    Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;

    Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;

    Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;

    Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;

    Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化系统理论;
  • 关键词

    sensory characteristics; gray correlation; fuzzy logic; fuzzy rules; fuzzy solution;

    机译:感官特征;灰色关联模糊逻辑;模糊规则;模糊解;

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