Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges

H Zhang, S Zhao, G Kou, CC Li, Y Dong, F Herrera - Information Fusion, 2020 - Elsevier
Consensus reaching process is a very powerful decision tool to eliminate the preference
conflict in group decision making. In general, the consensus is achieved by the decision …

Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high …

ZS Chen, XL Liu, KS Chin, W Pedrycz, KL Tsui… - Information …, 2021 - Elsevier
High-speed rail (HSR) has become an essential mode of public transportation in China and
is likely to remain so for the foreseeable future. To promote the development of the HSR …

Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way

E Herrera-Viedma, I Palomares, CC Li… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
This article provides a brief tour through the main fuzzy and linguistic decision-making
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …

Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization

Y Lu, Y Xu, E Herrera-Viedma, Y Han - Information Sciences, 2021 - Elsevier
Recently, large-scale group decision making (LSGDM) in social network comes into being.
In the practical consensus of LSGDM, the unit adjustment cost of experts is difficult to obtain …

Consensus reaching for social network group decision making by considering leadership and bounded confidence

Z Zhang, Y Gao, Z Li - Knowledge-Based Systems, 2020 - Elsevier
With the rapid development of information, communication and techniques, social network
group decision making problems which allow information exchange and communication …

[HTML][HTML] Consensus reaching in social network group decision making: Research paradigms and challenges

Y Dong, Q Zha, H Zhang, G Kou, H Fujita… - Knowledge-Based …, 2018 - Elsevier
In social network group decision making (SNGDM), the consensus reaching process (CRP)
is used to help decision makers with social relationships reach consensus. Many CRP …

[HTML][HTML] A review on trust propagation and opinion dynamics in social networks and group decision making frameworks

R Urena, G Kou, Y Dong, F Chiclana… - Information …, 2019 - Elsevier
On-line platforms foster the communication capabilities of the Internet to develop large-scale
influence networks in which the quality of the interactions can be evaluated based on trust …

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

Consensus reaching in multi-criteria social network group decision making: A stochastic multicriteria acceptability analysis-based method

P Li, Z Xu, Z Zhang, Z Li, C Wei - Information Fusion, 2023 - Elsevier
Multi-criteria social network group decision making (SNGDM) that allows decision makers
(DMs) to interact with each other has attracted increasing attention in the field of decision …