SP Wan, J Yan, JY Dong - Expert Systems with Applications, 2022 - Elsevier
This paper develops a new personalized individual semantic (PIS) based consensus reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …
J Tekli - Knowledge and Information Systems, 2022 - Springer
Digital photographs and visual data have become increasingly available, especially on the Web considered as the largest image database to date. However, the value of multimedia …
X Zhong, X Xu, B Pan - Information Fusion, 2022 - Elsevier
This study proposes a non-threshold consensus model that combines the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making (MALGDM) …
In the past decades, the rapid urbanisation has driven the prosperity of building industry, which, however, has led to the consumption of enormous amounts of energy and resources …
J Qin, M Li, Y Liang - Information Fusion, 2022 - Elsevier
Large-scale group decision-making problems based on social network analysis and minimum cost consensus models (MCCMs) have recently attracted considerable attention …
Nowadays, group decision making is an everyday occurrence in different scenarios, such as marketing or social networks. These social networks have facilitated communication …
Z Du, S Yu, H Luo, X Lin - Knowledge-Based Systems, 2021 - Elsevier
Group decision-making (GDM) in large-group social network environment (LGSNE) has attracted considerable attention in the field of decision science. Social relationships exist …
Large-scale group decision-making (LSGDM) under uncertainty modelled by comparative linguistic expressions based on a hesitant fuzzy linguistic term set (HFLTS) has recently …
SM Yu, XT Zhang, Z Du - Information Fusion, 2023 - Elsevier
Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has been developed and widely applied to various group decision-making (GDM) contexts …