A consensus model to manage the non-cooperative behaviors of individuals in uncertain group decision making problems during the COVID-19 outbreak
… The GDM is a process in which a group of experts work together to make a decision for a
certain problem towards a set of alternatives through a consensus reaching process (CRP). …
certain problem towards a set of alternatives through a consensus reaching process (CRP). …
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges
… problems (eg, social network, large-scale, and opinion dynamic group decision making
problems). Finally, we identify research challenges and propose future research direction. …
problems). Finally, we identify research challenges and propose future research direction. …
Minimum cost consensus modelling under various linear uncertain-constrained scenarios
… consensus problem with a linear cost using linear-time algorithms. Afterwards, they built
models … As a stochastic programming method, chance-constrained problems can always be …
models … As a stochastic programming method, chance-constrained problems can always be …
A survey on decentralized consensus mechanisms for cyber physical systems
… questions that address the gaps in existing studies. Then, we present a solution taxonomy
of … consensus mechanisms for various CPS applications. Then, open issues and challenges …
of … consensus mechanisms for various CPS applications. Then, open issues and challenges …
A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information
X Tan, J Zhu, FJ Cabrerizo, E Herrera-Viedma - Applied Soft Computing, 2021 - Elsevier
… When it comes to develop a model for a LSGDM problem, we must focus on the … In
conclusion, trust relationship can be utilized to deal with and reflect many issues in GDM. …
conclusion, trust relationship can be utilized to deal with and reflect many issues in GDM. …
Learning from disagreement: A survey
… on nlp and cv tasks, focusing on tasks for which substantial … determine the answers to
these questions. Our results suggest… to reach a consensus on how to evaluate models. This is …
these questions. Our results suggest… to reach a consensus on how to evaluate models. This is …
A survey of blockchain consensus algorithms performance evaluation criteria
SMH Bamakan, A Motavali, AB Bondarti - Expert Systems with Applications, 2020 - Elsevier
… that is defined as a consensus problem and has wide applications … have been done to cope
with this problem. In this paper, a … In Section 5, we discuss the challenges and limitations of …
with this problem. In this paper, a … In Section 5, we discuss the challenges and limitations of …
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
… problem is usually a complex and challenging process, in which reaching a high consensus
… In this paper, we use CD ∈ [0, 1] to represent the consensus degree (or the consensus level…
… In this paper, we use CD ∈ [0, 1] to represent the consensus degree (or the consensus level…
A cost consensus metric for consensus reaching processes based on a comprehensive minimum cost model
… CRPs in GDM problems. First, a new and comprehensive minimum cost consensus model
that … degree for all experts involved in the GDM problem and a comprehensive MCC should be …
that … degree for all experts involved in the GDM problem and a comprehensive MCC should be …
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances
S Qu, Y Li, Y Ji - Applied Soft Computing, 2021 - Elsevier
… viewpoint, there still exist three open problems in the MECM: … When the uncertainty is the unit
costs of DMs, the challenge … form of the maximum expert consensus problem with n DMs (or …
costs of DMs, the challenge … form of the maximum expert consensus problem with n DMs (or …