Decision-Making under Open World with Generalized Evidence Theory
2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)(2022)
摘要
As an extension of Dempster-Shafer evidence theory, Generalized evidence theory can be used in an open world where some targets are unknown. How to make a proper decision under open world is an open issue. In this paper, we propose a method under uncertain environments based on generalized evidence theory, which is used for decision making. We use K-means clustering and elbow methods based on generalized evidence theory to generate a complete discernment framework. And under the framework, a new decision-making method is proposed. After experimental verification, the newly proposed method can well solve the decision-making problem under open world.
更多查看译文
关键词
generalized evidence theory,decision-making under open world,K-means clustering,elbow method
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要