Two-fold personalized feedback mechanism for social network consensus by uninorm interval trust propagation

J Wu, S Wang, F Chiclana… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

An optimal feedback model to prevent manipulation behavior in consensus under social network group decision making

J Wu, M Cao, F Chiclana, Y Dong… - … on Fuzzy Systems, 2020 - ieeexplore.ieee.org
In this article, a novel framework to prevent manipulation behavior in consensus reaching
process under social network group decision making is proposed, which is based on a …

A consensus model for group decision-making with personalized individual self-confidence and trust semantics: A perspective on dynamic social network interactions

X Liu, Y Zhang, Y Xu, M Li, E Herrera-Viedma - Information Sciences, 2023 - Elsevier
Natural language could be a common method for individuals to specific social relationships
or self-evaluation (ie, assured or unconfident). Hence, it is important to contemplate …

A two-stage dynamic influence model-achieving decision-making consensus within large scale groups operating with incomplete information

S Li, C Wei - Knowledge-Based Systems, 2020 - Elsevier
The decision making environment has been dramatically affected by rapid developments in
society and the economy. Large-scale group decision making (LSGDM) based on social …

A novel integrated large-scale group MCDM model under fuzzy environment for selection of reach stacker in a container terminal

S Vesković, Ž Stević, Z Nunić, S Milinković… - Applied …, 2022 - Springer
The selection of transshipment and handling machinery in container terminals is a complex
and responsible task due to a number of daily operations required. Accordingly, there is a …

Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic …

X Tang, Z Peng, Q Zhang, W Pedrycz, S Yang - Knowledge-Based Systems, 2020 - Elsevier
Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …

Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment

X Zhou, F Ji, L Wang, Y Ma, H Fujita - Knowledge-Based Systems, 2020 - Elsevier
Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

[HTML][HTML] A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

K Lu, H Liao - Applied Intelligence, 2022 - Springer
Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With
the development of information technology, large-scale group decision making (GDM) …

[HTML][HTML] Influencing subjective well-being for business and sustainable development using big data and predictive regression analysis

V Weerakkody, U Sivarajah, K Mahroof… - Journal of business …, 2021 - Elsevier
Business leaders and policymakers within service economies are placing greater emphasis
on well-being, given the role of workers in such settings. Whilst people's well-being can lead …

A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis

JA Morente-Molinera, FJ Cabrerizo, J Mezei… - Knowledge-Based …, 2020 - Elsevier
The high spread of Internet and social networks have completely changed the way that
Group Decision Making methods are designed, developed and implemented. Experts now …