• DocumentCode
    2235511
  • Title

    Notice of Retraction
    Customer Satisfaction Degree Evaluation Based on Rough Set Theory and Matter Elements Model

  • Author

    Zhou Qingyuan

  • Author_Institution
    Sch. of Econ. & Manage., Jiangsu Teachers Univ. of Technol., Changzhou
  • fYear
    2009
  • fDate
    24-25 April 2009
  • Firstpage
    224
  • Lastpage
    227
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    To evaluate customer satisfaction also can help enterprises to understand and analyses their own weaknesses, promote the operational mechanisms reform of enterprises, help enterprises to work out correct development strategy and market policy, more reasonable distribute limited resources of enterprises, possibly improve effectiveness of customer satisfaction strategy in a greatest extent. The evaluation model of customer satisfaction is the key issue for enterprises to evaluate their customer satisfaction. In this paper, first of all, The RST is a fairly new methodology developed for dealing with imprecise, uncertain, and vague information. We use RST to determinate the weight of indexes for customer satisfaction, on the basis of matter element comprehensive evaluation model, the customer satisfaction degree is evaluated, at last, a numerical example illustrated the correctness of our method.
  • Keywords
    customer satisfaction; rough set theory; customer satisfaction degree evaluation; development strategy; market policy; matter elements model; operational mechanism; rough set theory; Conference management; Customer satisfaction; Industrial economics; Information analysis; Management information systems; Market opportunities; Psychology; Resource management; Set theory; Technology management; Customer Satisfaction degree; Matter Elements Synthetical Evaluation.; Rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2009. IIS '09. International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-3618-7
  • Type

    conf

  • DOI
    10.1109/IIS.2009.45
  • Filename
    5116339