Fuzzy portfolio selection using genetic algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on intelligent systems for financial engineering and computational finance
A new perspective for optimal portfolio selection with random fuzzy returns
Information Sciences: an International Journal
Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming
Journal of Computational and Applied Mathematics
A stochastic soft constraints fuzzy model for a portfolio selection problem
Fuzzy Sets and Systems
Gradually tolerant constraint method for fuzzy portfolio based on possibility theory
Information Sciences: an International Journal
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Compared with the conventional probabilistic mean-variance methodology, fuzzy number can better describe an uncertain environment with vagueness and ambiguity. In this paper, the portfolio selection model with borrowing constraint is proposed by means of possibilistic mean, possibilistic variance, and possibilistic covariance under the assumption that the returns of assets are fuzzy numbers. And a quadratic programming model with inequality constraints is presented when the returns of assets are trapezoid fuzzy numbers. Furthermore, Lemke algorithm is utilized to solve the model. Finally, a numerical example of the portfolio selection problem is given to illustrate our proposed effective means and variances. The results of the numerical example also show that the investor can make different decisions according to different requirements for the values of expected returns. And the efficient portfolio frontier of the model with borrowing constraints can be easily obtained.