Skip to main content

System Portfolio Selection Under Hesitant Fuzzy Information

  • Conference paper
  • First Online:
Group Decision and Negotiation in an Uncertain World (GDN 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 315))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Markowitz, H.: Portfolio selection. J. Financ. 7(1), 77–91 (1952)

    Google Scholar 

  2. Stummer, C., Heidenberger, K.: Interactive R&D portfolio analysis with project interdependencies and time profiles of multiple objectives. IEEE Trans. Eng. Manag. 50, 175–183 (2003)

    Article  Google Scholar 

  3. Peacock, J., Richardson, R., Carter, D.: Edwards, priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis (PBMA). Soc. Sci. Med. 64, 897–910 (2007)

    Article  Google Scholar 

  4. Buede, D., Bresnick, T.: Applications of decision analysis to the military systems acquisition process. Interfaces 22(6), 110–125 (1992)

    Article  Google Scholar 

  5. Zhou, Y., Jiang, J., Yang, Z., Tan, Y.: A hybrid approach for multi-weapon production planning with large-dimensional multi-objective in defence manufacturing. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 228(2), 302–316 (2014)

    Article  Google Scholar 

  6. Dou, Y., Zhang, P., Ge, B., Jiang, J., Chen, Y.: An integrated technology pushing and requirement pulling model for weapon system portfolio selection in defence acquisition and manufacturing. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 229(6), 1781–1789 (2014)

    Google Scholar 

  7. Katz, D.R., Sarkani, S., Mazzuchi, T., Conrow, E.H.: The relationship of technology and design maturity to DoD weapon system cost change and schedule change during engineering and manufacturing development. Syst. Eng. 18(1), 1–15 (2015)

    Article  Google Scholar 

  8. Zhou, Z., Dou, Y., Xia, B., et al.: Weapon systems portfolio selection based on fuzzy clustering analysis. In: IEEE International Conference on Control Science and Systems Engineering, pp. 702–705. IEEE (2017)

    Google Scholar 

  9. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  10. Xia, M., Xu, Z., Chen, N.: Some hesitant fuzzy aggregation operators with their application in group decision-making. Group Decis. Negot. 22, 259–279 (2013)

    Article  Google Scholar 

  11. Chen, N., Xu, Z.S., Xia, M.M.: Interval-valued hesitant preference relations and their applications to group decision making. Knowl.-Based Syst. 37, 528–540 (2013)

    Article  Google Scholar 

  12. Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)

    Google Scholar 

  13. Xia, M., Xu, Z.: Hesitant fuzzy information aggregation in decision making. Int. J. Approx. Reason. 52(3), 395–407 (2011)

    Article  Google Scholar 

  14. Farhadinia, B.: A novel method of ranking hesitant fuzzy values for multiple attribute decision-making problems. Int. J. Intell. Syst. 28(8), 752–767 (2013)

    Article  Google Scholar 

  15. Farhadinia, B.: A series of score functions for hesitant fuzzy sets. Inf. Sci. 277(2), 102–110 (2014)

    Article  Google Scholar 

  16. Zhao, H., Xu, Z., Wang, H., Liu, S.: Hesitant fuzzy multi-attribute decision-making based on the minimum deviation method. Soft Comput. 21(12), 3439–3459 (2016)

    Article  Google Scholar 

  17. Zhu, B., Xu, Z., Xu, J.: Deriving a ranking from hesitant fuzzy preference relations under group decision making. IEEE Trans. Cybern. 44(8), 1328–1337 (2017)

    Article  Google Scholar 

  18. Zhang, Z.: A framework of group decision making with hesitant fuzzy preference relations based on multiplicative consistency. Int. J. Fuzzy Syst. 19(4), 1–15 (2016)

    Google Scholar 

  19. Xu, Z., Xia, M.: Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. 181(11), 2128–2138 (2011)

    Article  Google Scholar 

  20. Zhang, X., Xu, Z.: The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment. Knowl.-Based Syst. 61(2), 48–58 (2014)

    Article  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yajie Dou .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-92874-6_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92873-9

  • Online ISBN: 978-3-319-92874-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics