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

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  • Yixiang Wu
  • Jianxin Cheng

Abstract

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 are 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.

Suggested Citation

  • Yixiang Wu & Jianxin Cheng, 2018. "Continuous Fuzzy Kano Model and Fuzzy AHP Model for Aesthetic Product Design: Case Study of an Electric Scooter," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, September.
    • Handle: RePEc:hin:jnlmpe:4162539
    DOI: 10.1155/2018/4162539
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    Cited by:

    1. Amber Batwara & Vikram Sharma & Mohit Makkar & Antonio Giallanza, 2022. "An Empirical Investigation of Green Product Design and Development Strategies for Eco Industries Using Kano Model and Fuzzy AHP," Sustainability, MDPI, vol. 14(14), pages 1-35, July.
    2. Lee, Ching-Hung & Li, Li & Li, Fan & Chen, Chun-Hsien, 2022. "Requirement-driven evolution and strategy-enabled service design for new customized quick-response product order fulfillment process," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Tianxiong Wang & Liu Yang, 2023. "Combining GRA with a Fuzzy QFD Model for the New Product Design and Development of Wickerwork Lamps," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    4. Nanyi Wang & Chang Shi & Xinhui Kang, 2022. "Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-22, December.

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