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Continuous Fuzzy Kano Model and Fuzzy AHP Model for Aesthetic Product Design: Case Study of an Electric Scooter

机译:审美产品设计的连续模糊卡诺模型和模糊AHP模型:电动滑板车的案例研究

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摘要

The fuzzy Kano model (FKM) adopts a linear scoring system that cannot accurately reflect the relationship between users' needs and satisfaction and may underestimate the importance of users' evaluation and needs. In this paper, we propose a preference-based evaluation-fuzzy-quantification method to determine the priority of the development of attractive factors of an electric scooter. In the evaluation analysis stage, the evaluation grid diagrams of all the interviewees arc systemized. In the fuzzy computing stage, the continuous fuzzy Kano model (C-FKM) combined with the fuzzy analytic hierarchy process (FAHP) is developed to determine the priority of the development of attractive factors. By processing the ambiguity of users' needs, the C-FKM can obtain a more accurate representation of users' needs than the FKM. The opinions of 20 experts are integrated using the similarity aggregation method (SAM); then the FAHP is applied to calculate the weight of each evaluation criterion. Lastly, we use quantitative analysis to discover the important and specific characteristics that influence the attractiveness of an electric scooter. Research shows that Kansei images with attractive qualities are reliable and may be the first choice for satisfying the perceptual demands of consumers and can provide reference for the related research.
机译:模糊Kano模型(FKM)采用的线性评分系统无法准确反映用户需求和满意度之间的关系,并且可能低估了用户评估和需求的重要性。在本文中,我们提出了一种基于偏好的评估-模糊-量化方法,以确定电动踏板车吸引力因素的开发优先级。在评估分析阶段,将所有受访者的评估网格图系统化。在模糊计算阶段,建立了连续模糊卡诺模型(C-FKM)与模糊层次分析法(FAHP)相结合,以确定吸引因子发展的优先顺序。通过处理用户需求的歧义,C-FKM可以获得比FKM更准确的用户需求表示。使用相似度汇总法(SAM)整合了20位专家的意见;然后将FAHP应用于计算每个评估标准的权重。最后,我们使用定量分析来发现影响电动踏板车吸引力的重要特征和特定特征。研究表明,具有吸引力品质的关西图像是可靠的,并且可能是满足消费者感知需求的首选,并且可以为相关研究提供参考。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2018年第12期|4162539.1-4162539.13|共13页
  • 作者

    Wu Yixiang; Cheng Jianxin;

  • 作者单位

    East China Univ Sci & Technol 130 Meilong Rd Shanghai 200237 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 04:59:45

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