Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods

نویسندگان

  • Kit Yan Chan
  • C. K. Kwong
  • Bao Qing Hu
چکیده

In product design, various methodologies have been proposed for market segmentation, which group consumers with similar customer requirements into clusters. Central points on market segments are always used as ideal points of customer requirements for product design, which reflects particular competitive strategies to effectively reach all consumers’ interests. However, existing methodologies ignore the fuzziness on consumers’ customer requirements. In this paper, a new methodology is proposed to perform market segmentation based on consumers’ customer requirements, which exist fuzziness. The methodology is an

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عنوان ژورنال:
  • Appl. Soft Comput.

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2012