Assessing spatial synergy between integrated urban rail transit system and urban form: A BULI-based MCLSGA model with the wisdom of crowds

JP Chang, ZS Chen, ZJ Wang, LS Jin… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Spatially synergizing the urban rail transit (URT) network integrated with its feeder transit
system and the urban form plays an important role in improving the effectiveness of URT in …

Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context

Y Wu, Y Gao, B Zhang, W Pedrycz - Information Fusion, 2023 - Elsevier
In the problems that linguistic assessments are conducted by adopting multiple sources of
information representations, the management of unification of heterogeneous information …

An endo-confidence-based consensus with hierarchical clustering and automatic feedback in multi-attribute large-scale group decision-making

X Tian, W Li, Z Xu, G Kou, C Nie - Information Sciences, 2022 - Elsevier
With the development of novel technological and societal paradigms, consensus in multi-
attribute large-scale group decision making is of great significance. The confidence derived …

Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers

GR Yang, X Wang, RX Ding, SP Lin, QH Lou… - Information …, 2023 - Elsevier
In large-scale group decision making events, diverse backgrounds of decision makers
(DMs) may result in various non-cooperative behaviors as they pursue personal interests …

Priority ranking for the best-worst method

J Tu, Z Wu, W Pedrycz - Information Sciences, 2023 - Elsevier
The best-worst method is a recently developed approach that addresses pairwise
comparisons in multi-criteria decision-making problems. It has attracted the interest of many …

Ordinal-cardinal consensus analysis for large-scale group decision making with uncertain self-confidence

F Meng, D Zhao, C Tan, Z Li - Information Fusion, 2023 - Elsevier
Consensus analysis is necessary for large-scale group decision making (LSGDM) for
ensuring reasonable decision results. This paper offers a new method for LSGDM with …

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 consensus model based on social network analysis in large-scale group decision making: mining and managing trust risk behaviors

M Li, L Qiu, Y Xu, X Liu, G Kou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In traditional social network analysis-based large-scale group decision making (LSGDM),
decision makers (DMs) often trust others based on social prestige/status without sufficient …

Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude

Y Zhou, C Zheng, M Goh - Knowledge-Based Systems, 2022 - Elsevier
As loss in decision sample information occurs during large-scale group decision-making
(LSGDM), this paper proposes a statistical estimation approach for handling Pythagorean …