Secure artificial intelligence of things for implicit group recommendations
The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …
many social computing applications, such as group recommender systems. As the distances …
An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …
it is important to understand and ensure the determinants of high-level user satisfaction …
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network
This paper focuses on consensus reaching process (CRP) under social network in which the
trust relationship expressed by linguistic information. A new feedback mechanism in social …
trust relationship expressed by linguistic information. A new feedback mechanism in social …
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 …
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …
Two-stage feedback mechanism with different power structures for consensus in large-scale group decision making
This article investigates a two-stage consensus feedback mechanism that considers different
power structures in large-scale group decision-making (LSGDM) environments. A Louvain …
power structures in large-scale group decision-making (LSGDM) environments. A Louvain …
Social trust driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness
Social network group decision making (SNGDM) has emerged as a new decision tool to
effectively model the social trust relationships among decision makers. The impact of the …
effectively model the social trust relationships among decision makers. The impact of the …
An optimal feedback model to prevent manipulation behavior in consensus under social network group decision making
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 …
process under social network group decision making is proposed, which is based on a …
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations
J Chu, Y Wang, X Liu, Y Liu - Information Fusion, 2020 - Elsevier
Large-scale group decision making (LSGDM) is characterized by a large number of
participators, multiple groups and a mass of decision data provided by the participators. With …
participators, multiple groups and a mass of decision data provided by the participators. With …
Multi-attribute group decision making with opinion dynamics based on social trust network
Social trust network (STN) has facilitated information exchange between experts during
interactions. Some feedback mechanisms have been used to provide advices for opinion …
interactions. Some feedback mechanisms have been used to provide advices for opinion …
Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies
Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …
making models by guiding decision-makers towards modifying their opinions through a …