Title of article :
Mean-semivariance models for fuzzy portfolio selection
Author/Authors :
Huang، نويسنده , , Xiaoxia، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
This paper discusses portfolio selection problem in fuzzy environment. In the paper, semivariance is originally presented for fuzzy variable, and three properties of the semivariance are proven. Based on the concept of semivariance of fuzzy variable, two fuzzy mean-semivariance models are proposed. To solve the new models in general cases, a fuzzy simulation based genetic algorithm is presented in the paper. In addition, two numerical examples are also presented to illustrate the modelling idea and the effectiveness of the designed algorithm.
Keywords :
optimization , Fuzzy programming , Fuzzy portfolio selection , Semivariance , Mean-semivariance model
Journal title :
Journal of Computational and Applied Mathematics
Journal title :
Journal of Computational and Applied Mathematics