Abstract
This chapter focuses on the portfolio selection investment decision-making method under the hesitant fuzzy environment. To achieve the above goals, firstly, this chapter analyzes the return and risk description of hesitant fuzzy information. By doing this, the data foundation of the hesitant fuzzy portfolio selection model can be identified. Then, for general investors and risk investors, we develop two qualitative portfolio selection models based on the max-score rule and the hesitant fuzzy trade-off (or score-deviation trade-off) rule, respectively. In addition, we further analyze the investment opportunities and efficient frontiers of these proposed qualitative portfolio models. Finally, an example of selecting the optimal stock portfolio is provided. On the basis of the above study and example, we can conclude that the proposed qualitative portfolio selection models used for the three types of risk investors are effective.
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Zhou, W., Xu, Z. (2020). Investment Decision Making Based on the Hesitant Fuzzy Trade-Off and Portfolio Selection. In: Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments. Studies in Fuzziness and Soft Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-030-11349-0_3
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DOI: https://doi.org/10.1007/978-3-030-11349-0_3
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