The fractal dimension of complex networks: A review
The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …
the power law relationship between characteristics of the box and the box size. There are …
A clustering-and maximum consensus-based model for social network large-scale group decision making with linguistic distribution
Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …
large-scale group decision making (LGDM) problems are faced. Due to the existence of …
Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making
Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
toward successful DevOps: a decision-making framework
DevOps (development and operations) is a set of collaborative practices that automate
delivery of new software updates with the aim to reduce the development life cycle and …
delivery of new software updates with the aim to reduce the development life cycle and …
Consensus reaching mechanism with parallel dynamic feedback strategy for large-scale group decision making under social network analysis
YJ Zhou, M Zhou, XB Liu, BY Cheng… - Computers & Industrial …, 2022 - Elsevier
With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …
collective intelligence for seeking the optimal solution. In this study, we propose an …
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 …
Consensus-based linguistic distribution large-scale group decision making using statistical inference and regret theory
F Jin, J Liu, L Zhou, L Martínez - Group Decision and Negotiation, 2021 - Springer
Large-scale group decision-making (LSGDM) deals with complex decision-making
problems which involve a large number of decision makers (DMs). Such a complex scenario …
problems which involve a large number of decision makers (DMs). Such a complex scenario …
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 …
Exploring the ordinal classifications of failure modes in the reliability management: An optimization-based consensus model with bounded confidences
Failure mode and effect analysis (FMEA) is a system activity that identifies, evaluates and
eliminates potential failure modes (FMs) in a system/process to enhance the quality and …
eliminates potential failure modes (FMs) in a system/process to enhance the quality and …
Consensus reaching for ordinal classification-based group decision making with heterogeneous preference information
In group decision making (GDM), there may exist some problems that need to assign
alternatives to some predefined ordered categories, which are called ordinal classification …
alternatives to some predefined ordered categories, which are called ordinal classification …