Abstract Three-way decision (3WD) can be used to handle complexity and uncertainty in decision-making problems, and is compatible with human cognitive systems. For insufficient …
X Wang, B Wang, T Li, H Li, J Watada - Applied Soft Computing, 2023 - Elsevier
Portfolio selection is one of the hottest issue in decision-making and management engineering. But due to the capital market natural complexity and investors' irrational …
J Deng, J Zhan, W Ding, P Liu, W Pedrycz - Artificial Intelligence Review, 2023 - Springer
In an uncertain and complex decision-making environment, limited by the scope of human cognition, traditional utility decision-making has a certain deviation to actual decision …
Y Wang, J Zhan, C Zhang - Information Sciences, 2023 - Elsevier
Multi-attribute decision-making (MADM) issues are gaining significant traction in the realm of social economy development. Given that individuals commonly rely on linguistic terms to …
Due to an increase in decision making sophistication and risk, behavioural three-way decision making has replaced traditional two-way decision making. Accordingly, this study …
T Wang, L Zhang, B Huang, X Zhou - Artificial Intelligence Review, 2023 - Springer
Conflict analysis gives guidelines for conflict resolution, which has been thoroughly studied and received widespread interest. Three-way conflict analysis research has achieved …
P Mandal, S Samanta, M Pal, AS Ranadive - Artificial Intelligence Review, 2023 - Springer
In any conflict analysis model, agents are decision-makers (DMs). In reality, the regret psychology of DMs often influence decision outcomes due to uncertain risks. However, the …
P Liang, W Cao, J Hu - Applied Soft Computing, 2023 - Elsevier
The sequential three-way decision (S3WD) model, which merges three-way decisions and granular computing, is increasingly crucial in classification. The risk attitude to the decision …
K Siminski - Fuzzy Sets and Systems, 2023 - Elsevier
The three-way decision approach is an emerging paradigm in the design of tools for data mining and machine learning. It switches from a two-way classification (“negative” and …