Abstract
System portfolio selection faces multi-criteria and multi-objective problems, which lead the decision-makers to build a decision model. Otherwise, the system evaluation value is not clear and the multi-objective of the system is difficult to outweigh. To solve the problem, a value-risk ratio model with Hesitant Fuzzy Set (HFS) is used for portfolio selection. To be specific, in this model, the HFS is used to evaluate the value and risk of systems; and the portfolio value and portfolio risk are calculated with HFS operation. Meanwhile, the value-risk rate is applied to address the problem of multi-objective for system portfolio. Finally, one numerical example for system portfolio selection is given to illustrate the applicability of the proposed model.
Keywords
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Acknowledgments
We are thankful to the Editor and the reviewers for their valuable comments and detailed suggestions to improve the presentation of the paper. Further, we also acknowledge the support in part by the National Natural Science Foundation of China under Grant No. 71690233, No. 71671186 and No. 71401167.
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Zhou, Z., Xu, X., Dou, Y., Tan, Y., Jiang, J. (2018). System Portfolio Selection Under Hesitant Fuzzy Information. In: Chen, Y., Kersten, G., Vetschera, R., Xu, H. (eds) Group Decision and Negotiation in an Uncertain World. GDN 2018. Lecture Notes in Business Information Processing, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-319-92874-6_3
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DOI: https://doi.org/10.1007/978-3-319-92874-6_3
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