Enhancing Decision-Making in Complex Environments
A Multi-Expert Decision System and Simulation-Driven Efficiency Measurement Approach
Bibliographic Data
| ID | 21585226 |
|---|---|
| Authors | Hao Chen (0000-0002-8873-8266, Hohai University), Changxin Xu (0000-0002-6051-0657, Hohai University, corresponding author) |
| Year | 2025 |
| Volume | 34 |
| Issue | 5 |
| Pages | 961-991 |
| Publication date | 2025-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Group Decision and Negotiation (JOURNAL) |
| Journal identifiers | ISSN: 0926-2644 • E-ISSN: 1572-9907 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10726-025-09937-w |
| OpenAlex | W4416242275 |
| Language | EN |
| References cited | 67 |
Cluster analysis · Decision analysis · Decision engineering · Decision problem · Decision support system · Optimal decision · Portfolio · Regret · Advanced Bandit Algorithms Research · Advanced Multi-Objective Optimization Algorithms · Risk and Portfolio Optimization
Decision Making under Deep Uncertainty
Hindsight Bias
Financial markets under the global pandemic of Covid-19
A Weighted Information Fusion Method Based on Sentiment Knowledge for Emergency Decision-Making Considering the Public and Experts
A Multi-Criteria and Multi-Agent Framework for supporting complex decision-making processes
Exploratory modelling and analysis to support decision-making under deep uncertainty
Decision-making methodology by using multi-expert knowledge for uncertain environments
Heuristic Decision Making
| Citation velocity | historical |
|---|---|
| Highly cited | No |