Back to Search
Start Over
Pythagorean Fuzzy TODIM Method Based on the Cumulative Prospect Theory for MAGDM and Its Application on Risk Assessment of Science and Technology Projects
- Source :
- International Journal of Fuzzy Systems. 23:1027-1041
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- 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.
- Subjects :
- Cumulative prospect theory
Computer science
Pythagorean theorem
Rationality
Computational intelligence
02 engineering and technology
Outcome (game theory)
Fuzzy logic
Theoretical Computer Science
Computational Theory and Mathematics
Risk analysis (engineering)
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Risk assessment
Science, technology and society
Software
Subjects
Details
- ISSN :
- 21993211 and 15622479
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- International Journal of Fuzzy Systems
- Accession number :
- edsair.doi...........6894f67291daad6ce2ea4251502aef31