• DocumentCode
    2747694
  • Title

    ERP ISV Investment Analysis under Fuzzy Decision Environment

  • Author

    Lingyu, Huo ; Bingwu, Liu ; Juntao, Li

  • Author_Institution
    Sch. of Inf., Beijing Wuzi Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    282
  • Lastpage
    286
  • Abstract
    An ERP (enterprise resource planning) ISV (independent software vender) investment decision model is considered in fuzzy decision environment. The size of the market, the sensitivity of demand to the price and quality, and fixed cost are treated as fuzzy variables. The Graded Mean Integration Representation method is used to solve the fuzzy profit, and equilibrium price, quality, demand, total cost and profit of the model are given. By using this decision model, the decision-maker´s fuzzy assessment with various variables can be considered in the decision process to assure more convincing and accurate decision-making. Finally, a numerical example is given to illustrate and validate the model and conclusions. It is shown that equilibrium product quality can be improved; equilibrium price, demand and profit can be increased through ERP investments under a fuzzy decision environment.
  • Keywords
    decision making; enterprise resource planning; fuzzy set theory; investment; ERP ISV investment analysis; decision-making; enterprise resource planning; fuzzy assessment; fuzzy decision environment; fuzzy profit; fuzzy variables; graded mean integration representation method; independent software vender; product quality; Cities and towns; Costs; Decision making; Electronic mail; Enterprise resource planning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information analysis; Investments; ERP investment; fuzzy decision making; product quality; trapezoidal fuzzy number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.322
  • Filename
    5358961