CART and rough sets for marketing segmentation and classification-an application of digital camera

  • Authors:

  • Chin-Yi Chen;Jih-Jeng Huang;Gwo-Hshiung Tzeng

  • Affiliations:

  • Institute of Management of Technology, National Chiao Tung Universit, Hsinchu, Taiwan;Department of Business and Entrepreneurial Administration, Kainan University, Taoyuan, Taiwan;Institute of Management of Technology, National Chiao Tung Universit, Hsinchu, Taiwan and Department of Business and Entrepreneurial Administration, Kainan University, Taoyuan, Taiwan

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
  • Year:
  • 2009

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Abstract

Classification and regression tree (CART) is a statistical method used for marketing segmentation and classification. On the other hand, rough sets are the newly developed method which is used to deal with the complex problem of classification. In this paper, the above methods are integrated for marketing segmentation and classification. From the empirical result, we can conclude that the proposed method is better than CART and rough sets with respect to the criteria of accuracy.