Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based …

Z Zhang, Z Li, Y Gao - Information Fusion, 2021 - Elsevier
In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …

Unit consensus cost-based approach for group decision-making with incomplete probabilistic linguistic preference relations

P Liu, R Dang, P Wang, X Wu - Information Sciences, 2023 - Elsevier
In group decision-making, the incomplete probabilistic linguistic preference relation
(InPLPR) has been widely studied because it can flexibly reflect the decision psychology of …

A group consensus-based travel destination evaluation method with online reviews

J Wu, Q Hong, M Cao, Y Liu, H Fujita - Applied Intelligence, 2022 - Springer
With the help of the massive online information, non-expert decision-making problems (such
as travel destination selection) can be solved. Online reviews provide decision-making …

Minimum cost consensus model with altruistic preference

Y Liang, Y Ju, Y Tu, W Pedrycz, L Martínez - Computers & Industrial …, 2023 - Elsevier
The minimum cost consensus model (MCCM) aims at reaching group consensus for either
conflict or polarized opinions evaluated in group decision making. Decision makers (DMs) …

Project selection in a biotechnology startup using combinatorial acceptability analysis

J Goers, G Horton - Decision Making: Applications in …, 2023 - dmame-journal.org
Abstract Combinatorial Multi-Criteria Acceptability Analysis (CMAA) is a new algorithmic
framework that enables the use of standard (ie, single-user) multicriteria decision-making …

A new clustering algorithm with preference adjustment cost to reduce the cooperation complexity in large-scale group decision making

T Wu, X Liu, J Qin, F Herrera - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
In large-scale group decision making (LSGDM), appropriate clustering analysis is important
to consensus reaching since it can reduce the interactive complexity among individuals …

Using improved Group 2 and Linguistic Z-numbers combined approach to analyze the causes of railway passenger train derailment accident

W Huang, Y Zhang, D Yin, B Zuo, M Xu, R Zhang - Information Sciences, 2021 - Elsevier
In recent years, several passenger train derailment accidents occurred in the world. In order
to guarantee the reliability and normal operations of railway passenger trains, an improved …

The robust minimum cost consensus model with risk aversion

H Zhang, Y Ji, S Qu, H Li, R Huang - Information Sciences, 2022 - Elsevier
Due to the uncertain circumstances in which decisions are made, the moderator may be
unable to provide an accurate unit adjustment cost to each decision maker, making the unit …

A novel linguistic decision making approach based on attribute correlation and EDAS method

Q Li, Y Rong, Z Pei, F Ren - Soft computing, 2023 - Springer
One of characteristics of large-scale linguistic decision making problems is that decision
information with respect to decision making attributes is derived from multi-sources …

The robust cost consensus model with interval-valued opinion and uncertain cost in group decision-making

H Zhang, Y Ji, R Yu, S Qu, Z Dai - International Journal of Fuzzy Systems, 2022 - Springer
This paper studies the cost consensus model by considering the uncertain initial opinions
and uncertain unit adjustment cost in group decision making. In the past consensus model …