Skip to main content

Advertisement

Log in

Optimization of Group Multiattribute Decision-Making Model in Commercial Space Investment

商业航天投资效益优化的群体多属性决策模型

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

A group multiattribute decision-making model was proposed by implementing prospect theory, multi-attribute decision-making, group decision-making and entropy methods for the optimization in commercial space investment. First, the decision-making function was decided using prospect theory by the preference of each expert to reach the comprehensive prospect value based on different investment options; second, expert decision weights were reached according to entropy method; third, the expert group decision-making information was congregated according to the group decision-making congregation algorithm to reach the most optimized investment option; finally, an example was given to demonstrate the feasibility and effectiveness of the method. This model comprehensively takes the advantages of many methods to congregate experts’ experiences and avoid the subjective influences, thus providing a scientific decision-making approach for the commercial space investment.

摘要

针对商业航天投资效益优化问题,提出了一种综合前景理论、多属性决策、群决策、熵权法等多种方法的商业航天投资效益优化群体多属性决策模型。首先,运用前景理论,依据不同专家的决策偏好确定投资决策函数,得到专家对于不同投资方案的综合前景值;其次,基于熵权法,获取专家决策权重;再次,采用群决策的聚集算法将专家群体决策信息进行集结,得到投资方案的最优决策;最后,通过一个算例说明了方法的可行性和有效性。该模型综合集成了多种方法,既有助于集成专家经验,又能够规避主观因素带来的影响,为商业航天投资的科学决策提供了方法。

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. WANG W M, XU H Y. Multiple attribute large-scale group decision making method based on hybrid information [J]. Systems Engineering and Electronics, 2020, 42(11): 2560–2569 (in Chinese).

    Google Scholar 

  2. REN R R, LI W W, ZHAO M, et al. A large group decision making method based on public evaluation [J]. Management Review, 2018, 30(10): 238–247 (in Chinese).

    Google Scholar 

  3. GONG C Z, LI L L, WEI Z F, et al. A method for hybrid multiple attribute decision making based on prospect theory and membership [J]. Chinese Journal of Management Science, 2014, 22(10): 122–128 (in Chinese).

    Google Scholar 

  4. ZHANG H Y, WEN F S, ZHANG C, et al. Prospect theory based multiple-attribute decision-making method for determining portfolio of construction projects in power systems [J]. Automation of Electric Power Systems, 2016, 40(14): 8–14 (in Chinese).

    Google Scholar 

  5. JIANG G T. Method for hybrid stochastic multiple attribute decision making considering decision maker’s psychological behavior [J]. Chinese Journal of Management Science, 2014, 22(6): 78–84 (in Chinese).

    Google Scholar 

  6. WAN S P, LI D F. Atanassov’s intuitionistic fuzzy programming method for heterogeneous multiattribute group decision making with Atanassov’s intuitionistic fuzzy truth degrees [J]. IEEE Transactions on Fuzzy Systems, 2014, 22(2): 300–312.

    Article  MathSciNet  Google Scholar 

  7. WAN S P, QIN Y L, DONG J Y. A hesitant fuzzy mathematical programming method for hybrid multi-criteria group decision making with hesitant fuzzy truth degrees [J]. Knowledge-Based Systems, 2017, 138: 232–248.

    Article  Google Scholar 

  8. WAN S P, ZOU W C, DONG J Y. Prospect theory based method for heterogeneous group decision making with hybrid truth degrees of alternative comparisons [J]. Computers & Industrial Engineering, 2020, 141: 106285.

  9. WAN S P, LI D F. Fuzzy LINMAP approach to heterogeneous MADM considering comparisons of alternatives with hesitation degrees [J]. Omega, 2013, 41(6): 925–940.

    Article  Google Scholar 

  10. WAN S P, DONG J Y. Interval-valued intuitionistic fuzzy mathematical programming method for hybrid multi-criteria group decision making with interval-valued intuitionistic fuzzy truth degrees [J]. Information Fusion, 2015, 26: 49–65.

    Article  Google Scholar 

  11. DONG J Y, WAN S P. Virtual enterprise partner selection integrating LINMAP and TOPSIS [J]. Journal of the Operational Research Society, 2016, 67(10): 1288–1308.

    Article  Google Scholar 

  12. LI R. Summary of prospect theory research [J]. Tribune of Social Sciences, 2014(2): 214–222 (in Chinese).

  13. FAN Z P, CHEN F D, ZHANG X. Method for hybrid multiple attribute decision making based on cumulative prospect theory [J]. Journal of Systems Engineering, 2012, 27(3): 295–301 (in Chinese).

    MATH  Google Scholar 

  14. TVERSKY A, KAHNEMAN D. Advances in prospect theory: Cumulative representation of uncertainty [J]. Journal of Risk and Uncertainty, 1992, 5: 297–323.

    Article  MATH  Google Scholar 

  15. FENG D D. Research on credit rating method based on ELECTRE-III and application [D]. Dalian: Dongbei University of Finance and Economics, 2019 (in Chinese).

    Google Scholar 

  16. ZHANG S, ZHANG M, CHI G T. The science and technology evaluation model based on entropy weight and empirical research during the 10th five-year of China [J]. Chinese Journal of Management, 2010, 7(1): 34–42 (in Chinese).

    Google Scholar 

  17. SHEN F. Multi-attribute group decision-making method and its application based on ELECTRE-III algorithm [D]. Guizhou: Guizhou University of Finance and Economics, 2012 (in Chinese).

    Google Scholar 

  18. CHENG Q Y. Structure entropy weight method to confirm the weight of evaluating index [J]. Systems Engineering: Theory and Practice, 2010, 30(7): 1225–1228 (in Chinese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junjie Hou  (侯俊杰).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Hou, J. & Zhong, S. Optimization of Group Multiattribute Decision-Making Model in Commercial Space Investment. J. Shanghai Jiaotong Univ. (Sci.) 28, 831–840 (2023). https://doi.org/10.1007/s12204-021-2400-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-021-2400-7

Key words

关键词

CLC number

Document code