[HTML][HTML] Majority vote in social networks

C Out, AN Zehmakan - Information Sciences, 2024 - Elsevier
Consider a graph G and suppose that initially each node is colored either black or white. In
the majority model, in each round all nodes simultaneously update their color to the most …

A deep learning and large group consensus based cruise satisfaction evaluation model with online reviews

W Ma, F Ji, C Liang, Q Sun, J Wu - Information Sciences, 2024 - Elsevier
Cruise satisfaction assessment is pivotal for both passenger experiences and the
enterprise's industry competitiveness. To do that, this research proposes a deep learning …

Three-Dimensional Golden Rule Representative Value in Decision-Making Systems

Q Jia, E Herrera-Viedma - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
Since the authors in Yager (2015), Yager (2018), Dong et al.(2017), and Gao et al.(2021)
proposed the concept of golden rule representative value (GRRV) for intervals ranking …

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

J Pang, Y Shi, J Dai - IEEE Access, 2024 - ieeexplore.ieee.org
Supply-demand matching degree evaluation is an effective way to reduce the transaction
risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for …

An Improved Laplacian Gravity Centrality-Based Consensus Method for Social Network Group Decision-Making with Incomplete ELICIT Information

J Mao, X Gou, Z Hua - Mathematics, 2024 - mdpi.com
With the advancement of information technology, social media has become increasingly
prevalent. The complex networks of social relationships among decision-makers (DMs) have …

Ikcs: An Effective Intelligent K-Medoids Clustering Scheme Based on Granularity Rough Entropy for Social Networks

L Chen, P Chen, Y Chen, N Xiong, W Liang - Wei, Ikcs: An Effective … - papers.ssrn.com
The k-Medoids clustering algorithm is one of the commonly used clustering methods, but it
does not consider the weight of each attribute which lead to different impacts on clustering …