Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective

RX Ding, I Palomares, X Wang, GR Yang, B Liu… - Information fusion, 2020 - Elsevier
The last decade witnessed tremendous developments in social media and e-democracy
technologies. A fundamental aspect in these paradigms is that the number of decision …

Consensus model handling minority opinions and noncooperative behaviors in large-scale group decision-making under double hierarchy linguistic preference …

X Gou, Z Xu, H Liao, F Herrera - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of society and continual progress of science and technology,
large-scale group decision-making (LSGDM) problems are very commonly encountered in …

A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network

Z Du, H Luo, X Lin, S Yu - Information Fusion, 2020 - Elsevier
Large-scale group decision-making (LSGDM) under a social network context has attracted
much attention in the field of decision science. The clustering of individual opinions and the …

Adaptive consensus reaching process with hybrid strategies for large-scale group decision making

M Tang, H Liao, J Xu, D Streimikiene… - European Journal of …, 2020 - Elsevier
Large-scale group decision making, which involves dozens to hundreds of experts, is
attracting increasing attention and has become an important topic in the field of decision …

Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making

J Xiao, X Wang, H Zhang - Information Fusion, 2020 - Elsevier
A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

Adaptive consensus-based model for heterogeneous large-scale group decision-making: detecting and managing noncooperative behaviors

ZP Tian, RX Nie, JQ Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Large-scale group decision-making (LSGDM), which involves dozens to hundreds of
decision-makers (DMs), is attracting extensive attention and has become an interesting and …

A k-core decomposition-based opinion leaders identifying method and clustering-based consensus model for large-scale group decision making

P Gao, J Huang, Y Xu - Computers & Industrial Engineering, 2020 - Elsevier
Due to the development of network technology, large-scale group decision making (LSGDM)
has become increasingly concerned. In this paper, a k-core decomposition-based opinion …

A dynamic programming algorithm based clustering model and its application to interval type-2 fuzzy large-scale group decision-making problem

X Pan, Y Wang, S He, KS Chin - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article focuses on employing the dynamic programming algorithm to solve the large-
scale group decision-making problems, where the preference information takes the form of …

Water–Energy–Food nexus evaluation with a social network group decision making approach based on hesitant fuzzy preference relations

N Wu, Y Xu, X Liu, H Wang, E Herrera-Viedma - Applied Soft Computing, 2020 - Elsevier
With the rapid increase and development of global population and economic, the Water–
Energy–Food (WEF) nexus evaluation which is related to the sustainable development of …

Algorithm for improving additive consistency of linguistic preference relations with an integer optimization model

P Wu, J Liu, L Zhou, H Chen - Applied Soft Computing, 2020 - Elsevier
Linguistic preference relation (LPR) composed by linguistic terms can well express decision
makers'(DMs') qualitative preference opinion by comparing alternatives with each other. The …