• DocumentCode
    3270568
  • Title

    A Method for Customer Demands Groups Segmentation in Product Design Based on Fuzzy Clustering and Trigonometric Functions

  • Author

    Hua Ertian ; Lu Huanhuan ; Chen Daqiang ; Fei Yulian

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    95
  • Lastpage
    98
  • Abstract
    Customer involvement become more and more important in product design and the most important problem is how to turn the customer demands into design knowledge, which makes the customer demands segmentation a hot topic in academic. A method for customer demands segmentation based on fuzzy clustering and trigonometric functions was proposed. Firstly, a customer-classified framework based on fuzzy clustering was presented. Then, 7 steps for partitioning clustering customer demand based on trigonometric functions were designed. Finally, an example of customer demands groups segmentation in stroller design was given to verify the feasibility and advantages of the method.
  • Keywords
    customer satisfaction; fuzzy set theory; pattern clustering; product design; clustering customer demand partitioning; customer demand group segmentation; customer involvement; customer-classified framework; design knowledge; fuzzy clustering; product design; stroller design; trigonometric function; Computer science; Educational institutions; Indexes; Intelligent systems; Manufacturing; Product design; Safety; clustering analysis; customer demands segmentation; fuzzy theory; knowledge representation; product design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.30
  • Filename
    6454777