An incentive mechanism-based minimum adjustment consensus model under dynamic trust relationship

Y Xing, J Wu, F Chiclana, C Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In traditional group decision making, the inconsistent experts are usually forced to make
compromises toward the group opinion to increase the group consensus level. However, the …

A large-scale group decision-making model considering risk attitudes and dynamically changing roles

X Cheng, Z Xu, X Gou - Expert Systems with Applications, 2024 - Elsevier
Aiming at three issues in large-scale group decision-making (LSGDM): risk attitudes,
dynamically changing roles, and dynamically adjust evaluation information of decision …

[HTML][HTML] Resilient heuristic aggregation of judgments in the pairwise comparisons method

K Kułakowski, J Szybowski, J Mazurek, S Ernst - Information Sciences, 2024 - Elsevier
In decision-making methods, it is common to assume that the experts are honest and
professional. However, this is not the case when one or more experts in the pairwise-based …

A novel intuitionistic fuzzy best-worst method for group decision making with intuitionistic fuzzy preference relations

SP Wan, JY Dong, SM Chen - Information Sciences, 2024 - Elsevier
This paper proposes a new intuitionistic fuzzy best-worst method (IFBWM) for group decision
making (GDM) with intuitionistic fuzzy (IF) preference relations (IFPRs). IF values (IFVs) are …

A maximum satisfaction consensus-based large-scale group decision-making in social network considering limited compromise behavior

Y Xu, H Xu - Information Sciences, 2024 - Elsevier
With the enrichment of social platforms, large-scale group decision-making (LSGDM) in
social networks has gradually taken shape. In practice, experts may show limited …

A large-scale group decision-making approach based on hesitancy degrees and non-cooperative behaviors with picture fuzzy information

JJ Peng, XG Chen - Applied Soft Computing, 2024 - Elsevier
Large-scale group decision-making (LSGDM) problems involve two processes: a clustering
process is first implemented to break down a larger group into several smaller subgroups for …

A tolerance index based non-cooperative behaviour managing method with minimum cost in social network group decision making

Q Sun, J Wu, F Chiclana, F Ji - Expert Systems with Applications, 2024 - Elsevier
This paper introduces a novel consensus theoretical framework designed to effectively
manage non-cooperative behaviour in social network group decision making (SNGDM). It …

Interactive dynamic trust network for consensus reaching in social network analysis based large-scale decision making

S Guo, RX Ding, MN Li, Z Shi, X Wang… - Expert Systems with …, 2024 - Elsevier
With the advances in social media and e-democracy technologies, large-scale decision
making (LSDM) problems with trust relationships demands effective consensus-reaching …

Two-stage consensus reaching process in social network large group decision-making with application to battery supplier selection

SP Wan, JY Dong, ZH Zhang - Information Sciences, 2024 - Elsevier
Trust relationships play an important role in social network large group decision making (SN-
LGDM). Extant studies overlook the self-adjustment stage of decision makers (DMs) and the …

New distance measure-driven flexible linguistic consensus model with application to urban flooding risk assessment

H Tian, S Zhang, M Deveci, X Liu, H Xu - Information Sciences, 2024 - Elsevier
As a novel linguistic representation tool, flexible linguistic expression (FLE) has substantial
flexibility in expressing ambiguous and uncertain information from experts. However, FLEs …