A hierarchical consensus reaching process for group decision making with noncooperative behaviors
With the development of technological and societal paradigms, we witness a trend where a
large number of experts participate in decision-making processes, and large-scale group …
large number of experts participate in decision-making processes, and large-scale group …
A social network based approach for consensus achievement in multiperson decision making
Nowadays we are living the apogee of the Internet based technologies and consequently
web 2.0 communities, where a large number of users interact in real time and share …
web 2.0 communities, where a large number of users interact in real time and share …
Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators
FJ Quesada, I Palomares, L Martinez - Applied Soft Computing, 2015 - Elsevier
In many real-life large scale group decision making problems, it can be necessary and
convenient a consensus reaching process, which is an iterative procedure aimed at seeking …
convenient a consensus reaching process, which is an iterative procedure aimed at seeking …
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
[HTML][HTML] How to determine the consensus threshold in group decision making: a method based on efficiency benchmark using benefit and cost insight
In the past 10 years, a large number of consensus-reaching approaches for group decision
making (GDM) have been proposed. While these methods either focus on the cost of the …
making (GDM) have been proposed. While these methods either focus on the cost of the …
Aggregation models in ensemble learning: A large-scale comparison
In this work we present a large-scale comparison of 21 learning and aggregation methods
proposed in the ensemble learning, social choice theory (SCT), information fusion and …
proposed in the ensemble learning, social choice theory (SCT), information fusion and …
Frameworks for collective intelligence: A systematic literature review
Over the last few years, Collective Intelligence (CI) platforms have become a vital resource
for learning, problem solving, decision-making, and predictions. This rising interest in the …
for learning, problem solving, decision-making, and predictions. This rising interest in the …
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making
The consensus reaching process (CRP) is a critical part of group decision making (GDM). In
order to explore the evolution of consensus, a new CRP tool is proposed based on …
order to explore the evolution of consensus, a new CRP tool is proposed based on …
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations
Nowadays, society demands group decision making (GDM) problems that require the
participation of a large number of experts, so-called large scale group decision making (LS …
participation of a large number of experts, so-called large scale group decision making (LS …
Do online social networks support decision-making?
V Sadovykh, D Sundaram, S Piramuthu - Decision support systems, 2015 - Elsevier
The rapid adoption of online social networks (OSN) across different stakeholders raises
several interesting questions on different facets of its dynamics. Properly governed and …
several interesting questions on different facets of its dynamics. Properly governed and …