A Weighted Information Fusion Method Based on Sentiment Knowledge for Emergency Decision-Making Considering the Public and Experts
X Xu, K Zheng, B Pan - Group Decision and Negotiation, 2024 - Springer
The information released by the public on various social media platforms can assist experts
in decision-making, thus improving the reliability of the decision-making results and …
in decision-making, thus improving the reliability of the decision-making results and …
Facilitating large-scale group decision-making in social networks: A bi-level consensus model with social influence
Y Tu, J Song, Y Xie, X Zhou, B Lev - Information Fusion, 2024 - Elsevier
Nowadays, more and more decision-makers (DMs) are engaging in group decision-making
(GDM) within certain social relationship networks. Therefore, understanding how to leverage …
(GDM) within certain social relationship networks. Therefore, understanding how to leverage …
Self-confidence Fermatean fuzzy trust network-driven consensus fusion framework: A new energy vehicle power battery recycling service outlet selection
S Luo, J Liu - Expert Systems with Applications, 2024 - Elsevier
The selection of new energy vehicle power battery (NEVPB) recycling service outlet will
promote the rapid development of new energy vehicle industry. In order to cope the green …
promote the rapid development of new energy vehicle industry. In order to cope the green …
Conceptual design decision-making considering multigranularity heterogeneous evaluation semantics with uncertain beliefs
Conceptual design decision-making, as an important stage of new product development, is
used to select the most appropriate design by decision-makers (DMs) carrying out semantic …
used to select the most appropriate design by decision-makers (DMs) carrying out semantic …
A conceptual clustering method for large-scale group decision-making with linguistic truth-valued lattice implication algebra
The increasing complexity of decision-making environments has led to a rise in the
involvement of decision-makers (DMs) in group decision-making problems. Clustering is …
involvement of decision-makers (DMs) in group decision-making problems. Clustering is …
Adaptive opinion evolution process with opinion dynamics for large-scale group decision making: A novel approach based on overlapping community detection in …
Y Peng, Y Wu - Information Sciences, 2024 - Elsevier
The rapid development of Web2. 0 technologies and social media platforms has developed
a new paradigm that allows many individuals to participate in decision-making processes …
a new paradigm that allows many individuals to participate in decision-making processes …
Managing manipulation behavior in hydrogen refueling station planning by a large group decision making method with hesitant fuzzy linguistic information
The selection decision of the hydrogen refueling station construction plan involves
professional knowledge in various aspects such as security management, energy storage …
professional knowledge in various aspects such as security management, energy storage …
A novel consensus model with probabilistic linguistic preference relation for the utilization mode selection of renewable energy sources
X You, F Hou - International Journal of Machine Learning and …, 2023 - Springer
The exploitation and utilization of renewable energy is an important issue that contributes to
the sustainable development of the national economy. This paper deals with the utilization …
the sustainable development of the national economy. This paper deals with the utilization …
A similarity-conformity-based clustering and decentralized feedback mechanism to manage incompatible decision-makers in large-scale group decision-making
JL Zhou, XY Chen, HW Wang - Expert Systems with Applications, 2024 - Elsevier
This study proposes a similarity-conformity-based clustering and decentralized feedback
mechanism to manage incompatible decision-makers (DMs) in the large-scale group …
mechanism to manage incompatible decision-makers (DMs) in the large-scale group …
CTITF: A tensor factorization model with constrained bidirectional user trust and implicit feedback for context-aware recommender systems
H Li, J Chen, J Zhao, L Yao, R Zhang, L Yang, X Lu - Information Sciences, 2024 - Elsevier
Recommender systems offer an efficient solution to the problem of information overload,
which is exacerbated by the rapid expansion of data. Context-aware recommender systems …
which is exacerbated by the rapid expansion of data. Context-aware recommender systems …