Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making

Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …

An optimal best-worst prioritization method under a 2-tuple linguistic environment in decision making

Á Labella, B Dutta, L Martínez - Computers & Industrial Engineering, 2021 - Elsevier
Multi-criteria group decision making (MCGDM) deals with decision makers who evaluate
alternatives over several criteria. MCGDM problems evolve in tandem with the progress of …

A sequential three-way decision-based group consensus method under probabilistic linguistic term sets

X Han, J Zhan - Information Sciences, 2023 - Elsevier
For complex decision-making problems, the joint evaluation of multiple experts is
indispensable for efficiently addressing them. Therefore, multi-attribute group decision …

An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level

Y Dong, CC Li, F Herrera - Information Sciences, 2015 - Elsevier
In certain real decision-making situations, decision makers often feel more comfortable
providing their knowledge and preferences in linguistic terms. Unbalanced linguistic term …

Deriving the personalized individual semantics of linguistic information from flexible linguistic preference relations

L Jiang, H Liu, Y Ma, Y Li - Information Fusion, 2022 - Elsevier
In group decision making, flexible linguistic preference relations (FLPRs) are very useful
with the pairwise comparisons taking the form of flexible linguistic expressions (FLEs). Due …

Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching

CC Li, Y Dong, F Herrera, E Herrera-Viedma… - Information …, 2017 - Elsevier
In group decision making (GDM) dealing with Computing with Words (CW) has been
highlighted the importance of the statement, words mean different things for different people …

Trust evolution based minimum adjustment consensus framework with dynamic limited compromise behavior for probabilistic linguistic large scale group decision …

WC Zou, SP Wan, JY Dong - Information Sciences, 2024 - Elsevier
To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

Probabilistic linguistic group decision-making based on evidential reasoning considering correlations between linguistic terms

XK Wang, M Deng, W Hou, L He, F Qu… - International Journal of …, 2023 - Springer
In recent years, evidential reasoning (ER) has provided an effective means to deal with
uncertain information depicted by probabilistic linguistic terms sets (PLTSs) during fusion …

Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with …

T Huang, X Tang, S Zhao, Q Zhang, W Pedrycz - Information Sciences, 2022 - Elsevier
This study investigates linguistic information-based granular computing for supporting multi-
attribute group decision-making where relative importance of experts/attributes, and …

Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations

J Gao, Z Xu, Z Liang, H Liao - Knowledge-Based Systems, 2019 - Elsevier
In emergency decision making, it can be difficult for decision-makers (DMs) to identify all
possible scenarios due to a lack of information and the evolution of emergency situations …