Paper Info
Title
Improved Todim Method For Intuitionistic Fuzzy Magdm Based On Cumulative Prospect Theory And Its Application On Stock Investment Selection
Abstract
The stock investment selection could be regarded as a classical multiple attribute group decision making (MAGDM) issue. The intuitionistic fuzzy sets (IFSs) can fully describes the uncertain information for stock investment selection. 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 intuitionistic fuzzy CPT-TODIM (IF-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 CRITIC method under IFSs. And focusing on hot issues in contemporary society, this article applies the discussed method for stock investment selection and demonstrates for stock investment selection based on the proposed method. Finally, through comparing the outcome of comparative analysis, we conclude that this improved approach is acceptable.
Year
DOI
Venue
2021
10.1007/s13042-020-01208-1
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Keywords
DocType
Volume
Multiple attribute group decision making (MAGDM), Intuitionistic fuzzy sets, TODIM, Cumulative prospect theory (CPT), Stock investment selection
Journal
12
Issue
ISSN
Citations 
3
1868-8071
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mengwei Zhao143.38
Guiwu Wei23568107.94
Cun Wei3510.52
Jiang Wu4114.37