概率犹模糊证据理论及其在卫星通信系统能力评估中的应用
Jiahuan Liu1, Ping Jian1, Desheng Liu1
1Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing 101400, China.
Entropy (Basel, Switzerland)
|January 26, 2024
概括
本研究引入了概率的犹不决的模糊证据理论 (PHFET) 来评估卫星通信系统 (SCS) 的能力. 为了改进系统评估,PHFET有效处理模两可的数据.
科学领域:
- 信息融合 信息融合
- 人工智能的人工智能
- 通信系统工程 通信系统工程
背景情况:
- 评估卫星通信系统 (SCS) 的能力是复杂和模两可的.
- 数据的不确定性阻碍了SCS评估的准确分析和专家判断.
- 现有的方法在SCS评估中扎于模两可,多来源的信息.
研究的目的:
- 提出一种创新的方法,用扩展的斯特-沙弗理论来评估SCS能力.
- 引入概率犹的模糊证据理论 (PHFET) 来管理不确定性和模糊性.
- 开发一个可靠的模型来评估SCS能力要求的满足.
主要方法:
- 扩展了斯特-沙弗理论 (DST) 到概率犹不决的模糊证据理论 (PHFET).
- 引入了概率犹不决的模糊基本概率赋值 (PHFBPA) 来测量支持.
- 开发了PHFBPA生成方法 (多分类器,距离) 和折扣因子 (,Jousselme距离).
主要成果:
- 通过实验分类和评估证明PHFET方法的有效性和稳定性.
- 为了评估SCS能力,PHFET成功处理了模两可的数据在多源信息融合中.
- 通过提出的折扣因子,提高了证据的一致性.
结论:
- 在不确定的环境中评估SCS能力,PHFET提供了一个引人注目的解决方案.
- 拟议的方法通过有效管理模两可的数据,增强了多来源信息的融合.
- 这项工作推进了复杂系统评估的证据理论领域.
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