Survey of Various Fuzzy and Uncertain Decision-Making Methods
#fuzzy logic #decision-making #uncertainty #survey #methods
📌 Key Takeaways
- The article surveys methods for decision-making under uncertainty and fuzziness.
- It reviews various approaches to handle imprecise or incomplete information in decisions.
- The focus is on fuzzy logic and other uncertainty modeling techniques.
- Applications across different fields like engineering, economics, and management are discussed.
📖 Full Retelling
arXiv:2603.15709v1 Announce Type: new
Abstract: Decision-making in real applications is often affected by vagueness, incomplete information, heterogeneous data, and conflicting expert opinions. This survey reviews uncertainty-aware multi-criteria decision-making (MCDM) and organizes the field into a concise, task-oriented taxonomy. We summarize problem-level settings (discrete, group/consensus, dynamic, multi-stage, multi-level, multiagent, and multi-scenario), weight elicitation (subjective an
🏷️ Themes
Decision-Making, Uncertainty Modeling
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Original Source
arXiv:2603.15709v1 Announce Type: new
Abstract: Decision-making in real applications is often affected by vagueness, incomplete information, heterogeneous data, and conflicting expert opinions. This survey reviews uncertainty-aware multi-criteria decision-making (MCDM) and organizes the field into a concise, task-oriented taxonomy. We summarize problem-level settings (discrete, group/consensus, dynamic, multi-stage, multi-level, multiagent, and multi-scenario), weight elicitation (subjective an
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