@Article{AJ_2024.12.01.OR.01,
    doi     = { 10.17093/alphanumeric.1244061 },
    author  = { Furkan Göktaş },
    title   = { A Novel Game-Theoretical Approach for The Possibilistic Mean - Variance Model },
    abstract = { Possibility theory is a significant tool to deal with imprecise probability and benefit from expert knowledge. Thus, the possibilistic mean-variance (MV) model is a considerable alternative for the portfolio selection problem. In this study, we propose an extension of the possibilistic MV model to the multiple market strategies where we assume that the possibility distributions of asset returns are given with triangular fuzzy numbers. The proposed extension related to the game theory is provided with a linear optimization problem. Thus, it can be solved with the Simplex algorithm as in this study. After giving the theoretical points, we illustrate it by using a numerical example. }
    journal = { Alphanumeric Journal },
    year    = { 2024 },
    volume  = { 12 },
    number  = { 1 },
    pages   = { 1-12 },
    url     = { https://alphanumericjournal.com/article/a-novel-game-theoretical-approach-for-the-possibilistic-mean-variance-model },
}