Clustering analysis and punishment‐driven consensus‐reaching process for probabilistic linguistic large‐group decision‐making with application to car‐sharing platform selection
From MaRDI portal
Publication:6071109
DOI10.1111/itor.13049OpenAlexW3198889144MaRDI QIDQ6071109
Su-min Yu, Zhi-jiao Du, Xue-yang Zhang
Publication date: 27 November 2023
Published in: International Transactions in Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/itor.13049
noncooperative behaviorcar-sharing platform selectiondistance-to-center clustering algorithmprobabilistic linguistic large-group decision-making (PL-LGDM)punishment-driven consensus model
Cites Work
- Hierarchical clustering via joint between-within distances: extending Ward's minimum variance method
- A consensus process for group decision making with probabilistic linguistic preference relations
- An interval type-2 fuzzy TOPSIS model for large scale group decision making problems with social network information
- Large-scale group decision making model based on social network analysis: trust relationship-based conflict detection and elimination
- A consensus-based probabilistic linguistic gained and lost dominance score method
- Managing noncooperative behaviors in large-scale group decision-making: integration of independent and supervised consensus-reaching models
- Consensus reaching in social network DeGroot model: the roles of the self-confidence and node degree
- Adaptive consensus reaching process with hybrid strategies for large-scale group decision making
- An extended TODIM approach with intuitionistic linguistic numbers
- An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms
- A large‐scale group decision making method with a consensus reaching process under cognitive linguistic environment
This page was built for publication: Clustering analysis and punishment‐driven consensus‐reaching process for probabilistic linguistic large‐group decision‐making with application to car‐sharing platform selection