• DocumentCode
    2918972
  • Title

    A Hierarchical Fuzzy Classification of Online Customers

  • Author

    Werro, Nicolas ; Stormer, Henrik ; Meier, Andreas

  • Author_Institution
    Dept. of Informatics, Fribourg Univ.
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    256
  • Lastpage
    263
  • Abstract
    A key challenge for companies in the e-business era is to manage customer relationships as an asset. In today´s global economy this task is getting, at the same time, more difficult and more important. In order to retain the potentially good customers and to improve their buying attitude this paper proposes a hierarchical fuzzy classification of online customers. A fuzzy classification, which is a combination of relational databases and fuzzy logic, allows customers to be classified in several classes at the same time and can therefore precisely determine the customers´ value for an enterprise. This approach allows companies to improve the customer equity, to launch loyalty programs, to automate mass customization and to refine marketing campaigns in order to maximize the customers´ value and, this way, the companies´ profit
  • Keywords
    customer relationship management; electronic commerce; fuzzy logic; fuzzy set theory; pattern classification; relational databases; company profit; customer equity; customer relationship management; e-business; fuzzy logic; global economy; hierarchical fuzzy classification; loyalty program; marketing campaign; mass customization; online customer; relational database; Asset management; Companies; Customer relationship management; Data mining; Database languages; Fuzzy logic; Humans; Informatics; Mass customization; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2006. ICEBE '06. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7695-2645-4
  • Type

    conf

  • DOI
    10.1109/ICEBE.2006.4
  • Filename
    4031659