选择(遗传算法)
文件夹
计算机科学
投资组合优化
计量经济学
人工智能
经济
金融经济学
作者
Hongquan Li,Zhihong Yi
标识
DOI:10.1016/j.eswa.2019.05.008
摘要
Abstract Fuzzy portfolio selection is effective in coping with the uncertainty in financial decision making, in which investor’s expectation plays an important role. In this paper, to capture the coherence of the investor’s expectation we develop a new trapezoidal fuzzy numbers with an adaptive index, through which the membership degrees for favorable and unfavorable scenarios are transformed consistently to avoid the logical confusion. We also present the possibilistic expected mean, variance and skewness under the new measurement. Then, the new trapezoidal fuzzy numbers are employed in fuzzy mean-variance model and mean-variance-skewness model for optimal asset allocation. The validity and advantages of these models can be illustrated by the numerical examples in the end.
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