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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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Plausible inference is one of the main research issues of knowledge enginee- ring.Many plausible reasoning formalisms have been employed in a variety of expert systems at present.Among these,the theory of evidence was intro- duced into knowledge engineering in early 1980s.Rearcheres have paid great attention to it.This peper presents a plausible reasoning algorithm on the basis of evidence theory,which can give full play to the advanteges of this theory.

似然推理是知识工程研究的主要课题之一。目前已有计多似然推理体系被应用在各种专家系统中。证据理论是八十年代被引入到知识工程研究中的似然推理理论,现己受到高度重视。本文提出一种基于证据理论的似然推理算法,它可以充分发挥证据理论的优点。

Problem solving and decision making by human are often done in the environments where information concerning the problem is partial or approximate. Artificial intelligence researches have been attempting to make the expert systems capable of handling the uncertainty of information. Hence, some theories have been proposed in the recent past. One of the main theories is shafer's evidence theory. In this paper, we suggest an extension of shafer's evidence theory to two-dimensional situation, and describe...

Problem solving and decision making by human are often done in the environments where information concerning the problem is partial or approximate. Artificial intelligence researches have been attempting to make the expert systems capable of handling the uncertainty of information. Hence, some theories have been proposed in the recent past. One of the main theories is shafer's evidence theory. In this paper, we suggest an extension of shafer's evidence theory to two-dimensional situation, and describe some important properties of two-dimensional believe measures.

问题求解与人类决策常常是在有关问题的信息并不完全的环境下做出的。人工智能的研究者们正试图将人类的这种能力赋予计算机专家系统,为此提出了一些处理不确定性信息的理论,Shafer的证据理论就是其中之一。本文将Shafer的证据理论推广到二维的情形,得到了二维信任测度的一些重要性质,并在此基础上,提出了条件信任测度的概念。

Based on the evidence theory and possibility theory,the problem of indefinite decision mak-ing in the face of uncertain knuwledge abuut the slates of nature is discussed. It can be seen that theknowledge abuut the slates of nature may be better represented by a possibility distribution or more gen-erally by a D-S type evidential belief structure,A general framework for represent ing the knowledgeof evidence of deciscion maker is intruduced.Some classic characterization becomes the special...

Based on the evidence theory and possibility theory,the problem of indefinite decision mak-ing in the face of uncertain knuwledge abuut the slates of nature is discussed. It can be seen that theknowledge abuut the slates of nature may be better represented by a possibility distribution or more gen-erally by a D-S type evidential belief structure,A general framework for represent ing the knowledgeof evidence of deciscion maker is intruduced.Some classic characterization becomes the special cases ofthis more general framework.

基于模糊证据的不确定型决策郑彦,徐南荣(东南大学管理学院,南京210018)不确定型决策问题与风险型决策问题均属于状态变量不确定的决策问题,所不同的是:在风险型决策中,决策音了解状态变量的概率分布;而在不确定型决策中,决策者对状态变量的概率知识一无所...

 
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