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evidence theory
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  evidence theory
Rulegraphs check this compatibility between unary and binary rules by combining evidence theory with graph theory.
      
Formalisms such as probability theory and Dempster-Shafer evidence theory have proposed specific forms for these operators.
      
Both techniques rely on the mathematical tools of evidence theory, which are customized here for application to total uncertainty in track forecasts.
      
Application of evidence theory to quantify uncertainty in hurricane/typhoon track forecasts
      
This essay investigates this connection in detail, pointing to the usefulness of evidence theory to formalise and extend Shackle's decision theory.
      
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An intrusion detection system model based on the neural network and evidence theory is discussed. First we use a neural network to capture the user behavior pattern and to create the user normal behavior profile; then the deviant estimate of the detect samples is given by the neural network and the Dempster Shafer evidence theory is used to fuse the result derived from the neural network at different times, so that the abnormality in the user behavior can be detected more efficiently.

讨论了利用神经网络设计识别用户异常行为的入侵检测系统的方案,即提取用户正常行为样本的特征来构造用户正常行为的特征轮廓;用神经网络扫描系统的审计迹得到的检测样本与用户特征轮廓进行比较,以两者的偏差作为证据,并结合证据理论来提高检测的正确率.

This paper is focused on the fuzzy logic and D-S evidence theory based information fusion methodology for telecommunication network management. The fusion algorithm and reasoning mechanism for relation rules in the field of network management is discussed, which are from multiple information sources and reveal the relations between the network fault and the fault causes. The same is done for fuzzy relations and fuzzy rules. Finally, in order to get the more reliable diagnosis result, the D-S evidence...

This paper is focused on the fuzzy logic and D-S evidence theory based information fusion methodology for telecommunication network management. The fusion algorithm and reasoning mechanism for relation rules in the field of network management is discussed, which are from multiple information sources and reveal the relations between the network fault and the fault causes. The same is done for fuzzy relations and fuzzy rules. Finally, in order to get the more reliable diagnosis result, the D-S evidence theory is adapted to fuse the fault diagnosis results from the experts, the result of rule reasoning and fuzzy reasoning.

研究基于模糊逻辑和组合证据理论的综合信息融合技术在网络管理中的应用 .研究了用于网络管理的来源于多信息源的关联规则的融合方法和推理机制 ,以及故障与故障原因的模糊关系和模糊规则的融合方法及推理机制 ;在故障定位方面 ,采用组合证据理论对网络专家、规则推理和模糊推理所给出的故障原因进行融合得出综合的诊断结果 .

Trust management is the most promising approach to ensure security in open multi-agent systems.One of its basis is trust acquisition.In this paper,a new method for acquiring trusts is proposed in the framework of Dempster-Shafer evidence theory.The idea is that one interaction between agents provides a evidence about trust of service provider,multiple interactions give multiple independent evidences,and combination of these evidences results in more accurate evidential trust evaluation.Compared...

Trust management is the most promising approach to ensure security in open multi-agent systems.One of its basis is trust acquisition.In this paper,a new method for acquiring trusts is proposed in the framework of Dempster-Shafer evidence theory.The idea is that one interaction between agents provides a evidence about trust of service provider,multiple interactions give multiple independent evidences,and combination of these evidences results in more accurate evidential trust evaluation.Compared with the most commonly used method of thresholding histogram of quality of services,the method is more insensitive to threshold parameters and needs less direct interactions between agents.

信任管理是解决开放多agent系统安全性问题最有前途的思路,而其基础之一就是信任获取。该文在Demp-ster-Shafer证据理论框架内,提出了一种新的证据获取方法,文章认为agent之间一次交互的服务质量提供了关于服务提供者可信任程度的一个证据,多次的服务提供了多个独立的证据,这些证据的合成构成了更准确的证据信任评价。与目前常用的多次服务质量直方图加门限的信任获取方法相比,该方法具有评价结果对门限参数敏感度低,以及对个别a-gent之间交互次数要求少的优点。

 
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