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Investment Decision Making Based on the Hesitant Fuzzy Peer-Evaluation and Strategy Fusion

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Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 376))

Abstract

This chapter proposes the hesitant fuzzy peer-evaluation (HFPE) model through the self-evaluation and peer-evaluation mechanisms and then applies it to the investment decision making. In addition, with respect to the different strategy preferences of investors, we further develop the hesitant fuzzy benevolent and aggressive peer-evaluation models, and further derive their general form, namely the hesitant fuzzy generalized peer-evaluation (HFGPE) model. Here, the investors’ strategy preferences are fused by a new strategy preference parameter in the HFGPE model. Then, the strategy fusion and investment decision-making processes under the hesitant fuzzy environment with regard to the investor’s strategy preference and the self-evaluation and peer-evaluation mechanisms are constructed. Finally, a real example is given to demonstrate these approaches in detail.

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Correspondence to Wei Zhou .

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Zhou, W., Xu, Z. (2020). Investment Decision Making Based on the Hesitant Fuzzy Peer-Evaluation and Strategy Fusion. 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_5

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