For multi-attribute group decision-making (MAGDM) problems, this paper proposes a three- way consensus model based on regret theory (RT) under the framework of probabilistic …
J Liu, B Huang, H Li, X Bu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the effectiveness and advantages of interval-valued intuitionistic fuzzy sets (IVIFSs) in evaluating uncertainty and risk, we introduce IVIFSs into loss functions of decision-theoretic …
J Liu, J Mai, H Li, B Huang, Y Liu - Information Sciences, 2022 - Elsevier
The determination of both thresholds in decision-theoretic rough sets is an important problem of study that has aroused widespread attention in recent years. Although many …
J Liu, X Guo, P Ren, L Zhang, Z Hao - Information Sciences, 2023 - Elsevier
Three-way group decision-making is an important direction of study in the fields of three-way decision-making and granular computing and has received much attention from scholars in …
J Luo, M Hu, G Lang, X Yang, K Qin - Information Sciences, 2022 - Elsevier
Trisecting agents, issues, and agent pairs are essential topics of three-way conflict analysis. They have been commonly studied based on either a rating or an auxiliary function. A rating …
In group decision making (GDM) of organization management, information interaction usually occurs via the hierarchical social networks. In the hierarchical social networks, the …
J Zhu, X Ma, J Zhan - Information Sciences, 2022 - Elsevier
Breast cancer is a malignant tumor that seriously threatens women's health. Although classic multi-attribute decision-making (MADM) techniques can handle this kind of medical problem …
In this manuscript, we propose an integrated framework based on COmplex PRoportional ASsessment and Step-wise Weight Assessment Ratio Analysis approach within the complex …
H Ju, W Ding, X Yang, H Fujita, S Xu - Applied Soft Computing, 2021 - Elsevier
In recent years, granular computing has been developed as a unified data description paradigm. As a popular soft computing supervised learning model, rough sets theory-based …