• DocumentCode
    2763784
  • Title

    Multi-agent Assessment on Marketing Risk Based on Evidence Theory

  • Author

    Wang, Qiwan

  • Author_Institution
    Sch. of Manage., Xuzhou Inst. of Technol., Xuzhou, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    370
  • Lastpage
    373
  • Abstract
    The paper aims to solving the problems on risk assessment in process of marketing through basic principles of evidence theory. First of all, the concept model on risk assessment based on evidence theory is established; then set agent parameters of marketing risk of a certain tinned beer, and establish the corresponding fuzzy membership function according to the marketing characteristics of this tinned beer; finally, the synthesis rule of evidence theory is converted into synthesis rule of fuzzy evidence so as to achieve the combination between fuzzy function and membership function and form the ultimate multi-agent assessment mathematical model. Input actual monitoring data into the model, and the results show that multi-agent assessment on marketing risk model established in this paper could well conduct the comprehensive assessment for marketing conditions of the tinned beer, and it also shows that it is an effective way for solving the issue of marketing risk assessment by using the model, which could provide support for decision-makers.
  • Keywords
    fuzzy set theory; marketing; multi-agent systems; risk management; concept model; fuzzy evidence theory; fuzzy membership function; marketing risk assessment; marketing risk model; multiagent assessment; tinned beer; Condition monitoring; Conference management; Economic forecasting; Electronic commerce; Fuzzy set theory; Marketing management; Mathematical model; Paper technology; Risk management; Technology management; evidence theory; market information; marketing risk; multi-agent assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.33
  • Filename
    5190476