• DocumentCode
    3119124
  • Title

    A fuzzy tool for the validation of individual risk premia in high-technology venture valuation: The application of a novel framework to convert FCMs into rule-based fuzzy systems

  • Author

    Salomon, Ralf ; Heydebreck, Peter ; Krüger, Lars

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Univ. of Rostock, Rostock, Germany
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    902
  • Lastpage
    909
  • Abstract
    Venture valuation is an essential technique in economics. Depending on the reason for a valuation, there are several methods applicable. It becomes even more complex when it comes to the valuation of companies that possess mainly intangible assets and whose success lies in the future. In this article a further step towards a Fuzzy Method is presented and discussed that allows the determination of a relevant parameter for a widely used valuation method. We focus on the application of a novel methodological framework to convert Fuzzy Cognitive Maps into Fuzzy rule-based Inference Systems. We demonstrate the principal feasibility and elucidate a method to optimize the functionality.
  • Keywords
    cognitive systems; economics; fuzzy set theory; fuzzy systems; inference mechanisms; knowledge based systems; risk management; venture capital; FCM; economics; fuzzy cognitive maps; fuzzy method; fuzzy rule-based inference systems; fuzzy tool; high-technology venture valuation; individual risk premia; intangible assets; principal feasibility; rule-based fuzzy systems; valuation method; Biological system modeling; Companies; Context; Cost accounting; Investments; Mathematical model; Venture capital; Company Valuation; Fuzzy Cognitive Map; Fuzzy Inference Systems; Fuzzy Rules; High-Technology Ventures; Risk-adequate Discount Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007445
  • Filename
    6007445