• DocumentCode
    2652241
  • Title

    Formalized Research on Incompatibility Problems in Marketing

  • Author

    Chun-yan, YANG ; Xing-sen, LI ; Wen, CAI ; Wei-Hua, Li

  • Author_Institution
    Guangdong Univ. of Technol., Guangzho
  • fYear
    2007
  • fDate
    20-22 Aug. 2007
  • Firstpage
    1171
  • Lastpage
    1177
  • Abstract
    Business intelligence has become an important factor of the enterprise´s core competence, most researches on business intelligence based on the analysis of data in order to get a result for decision-making. But there are many incompatibility problems in the real world can´t be solved by current methods. In this paper, the structure, extension models, judging methods and solving methods of multi characteristic incompatibility problem are studied through establishing basic-element, extensible set and dependent function. The transformation solving incompatibility problem is called solution transformation. Taking the application in marketing as an example, the applied value of multi characteristic incompatibility problems solving will be explained. Its application in marketing shows that this study provides new tools for the intelligent disposal of contradiction problems.
  • Keywords
    competitive intelligence; decision making; marketing; set theory; business intelligence; decision-making; dependent function; extensible set; marketing; multicharacteristic incompatibility problem; transformation solving incompatibility problem; Artificial intelligence; Conference management; Data analysis; Data engineering; Decision making; Engineering management; Knowledge management; Marketing management; Problem-solving; Technology management; basic-element; business intelligence; extensible set; extension transformation; incompatibility problem; marketing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2007. ICMSE 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-7-88358-080-5
  • Electronic_ISBN
    978-7-88358-080-5
  • Type

    conf

  • DOI
    10.1109/ICMSE.2007.4422004
  • Filename
    4422004