• DocumentCode
    2842249
  • Title

    Value Function Computation in Fuzzy Real Options by Differential Evolution

  • Author

    Guerra, Maria Letizia ; Sorini, Laerte ; Stefanini, Luciano

  • Author_Institution
    Dept. of Math. for Economic & Social Sci., Univ. of Bologna, Bologna, Italy
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    324
  • Lastpage
    329
  • Abstract
    Real options are a typical framework in economics that involves uncertainty. The definition of the value function of real options can take advantage of a model of uncertainty that includes stochastic processes and fuzzy numbers; to perform the complete analysis with American type real options, we need to compute the fuzzy extension of the value function for A special version of the multiple population differential evolution algorithm is designed to compute the level-cuts of the fuzzy extension of the multidimensional real valued function of fuzzy numbers in the resulting optimization problems. We perform some computational experiments connected with the option to defer investment, that is an American call option on the present value of the completed expected cash flows with the exercise price equal to the required outlay.
  • Keywords
    evolutionary computation; functions; fuzzy set theory; stochastic processes; American type real options theory; differential evolution algorithm; economics; fuzzy extension; fuzzy numbers; optimization problems; stochastic processes; uncertainty model; value function computation; Algorithm design and analysis; Computer applications; Cost accounting; Design optimization; Fuzzy sets; Fuzzy systems; Intelligent systems; Investments; Multidimensional systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.232
  • Filename
    5364845