Pythagorean Fuzzy TODIM Method Based on the Cumulative Prospect Theory for MAGDM and Its Application on Risk Assessment of Science and Technology Projects

被引:0
作者
Mengwei Zhao
Guiwu Wei
Cun Wei
Jiang Wu
机构
[1] Sichuan Normal University,School of Business
[2] Southwestern University of Finance and Economics,School of Statistics
来源
International Journal of Fuzzy Systems | 2021年 / 23卷
关键词
Multiple attribute group decision making (MAGDM); Pythagorean fuzzy sets (PFSs); TODIM; Cumulative prospect theory (CPT); Science and technology projects;
D O I
暂无
中图分类号
学科分类号
摘要
The risk assessment of science and technology projects could be regarded as a classical multiple attribute group decision-making (MAGDM) issue. The Pythagorean fuzzy sets (PFSs) can fully describe the uncertain information for the risk assessment of science and technology projects. Furthermore, the classical TODIM method based on the cumulative prospect theory (CPT-TODIM) is built, which is a selectable method in reflecting the DMs’ psychological behavior. Thus, in this paper, the Pythagorean fuzzy CPT-TODIM (PF-CPT-TODIM) method is proposed for MAGDM issue. At the same time, it is enhancing rationality to get the weight information of attributes by using the entropy weight method under PFSs. And focusing on hot issues in contemporary society, this article applies the discussed method to risk assessment of science and technology projects, and demonstrates risk assessment model of science and technology projects based on the proposed method. Finally, through comparing the outcome of comparative analysis, we conclude that this improved approach is acceptable.
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页码:1027 / 1041
页数:14
相关论文
共 209 条
[1]  
Atanassov KT(1986)Intuitionistic fuzzy sets Fuzzy Sets Syst. 20 87-96
[2]  
Cavallaro F(2019)Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights Technol. Forecast. Soc. Chang. 140 258-270
[3]  
Zavadskas EK(2014)Applications of WASPAS method in manufacturing decision making Informatica 25 1-20
[4]  
Streimikiene D(2015)Applications of waspas method as a multi-criteria decision-making tool Econ. Comput. Econ. Cybern. Stud. Res. 49 5-22
[5]  
Mardani A(2018)An effective correlation-based compromise approach for multiple criteria decision analysis with Pythagorean fuzzy information J. Intell. Fuzzy Syst. 35 3529-3541
[6]  
Chakraborty S(2018)A mixed-choice-strategy-based consensus ranking method for multiple criteria decision analysis involving pythagorean fuzzy information IEEE Access 6 79174-79199
[7]  
Zavadskas EK(2018)A novel PROMETHEE-based outranking approach for multiple criteria decision analysis with pythagorean fuzzy information IEEE Access 6 54495-54506
[8]  
Chakraborty S(2018)Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis Inform. Fusion 41 129-150
[9]  
Zavadskas EK(2020)Forecasting oil price volatility using high-frequency data: new evidence Int. Rev. Econ. Finance 66 1-12
[10]  
Antucheviciene J(2019)TODIM method for multiple attribute decision making with 2-tuple linguistic pythagorean fuzzy information J. Intell. Fuzzy Syst. 37 1769-1780