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Belief assignment on compound hypotheses within the framework of the Transferable Belief Model

机译:在可转让信念模型的框架内对复合假设的信仰作业

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Within the framework of evidence theory, the construction of mass functions remains an important problem which can considerably influence final results. Several propositions of construction are available in literature but generally, these methods do not consider the belief masses on compound hypotheses and do not exploit all the strengths of the theory. In this article, we propose two methods of grouping hypotheses allowing to reduce the number of focal elements during the construction of mass functions. The first one is based on a well-known approach in cartography and geoinformation fields: Jenks' method. The second one is based on information criteria. We present and confront both methods. Results in a forensic entomology application are then presented.
机译:在证据理论框架内,质量职能的构建仍然是一个重要的问题,可以大大影响最终结果。在文献中提供了几种建筑命题,但通常,这些方法不考虑化合物假设的信仰群体,并且不会利用理论的所有优势。在本文中,我们提出了两种分组假设的方法,允许减少质量函数施工期间的焦点元素的数量。第一个基于制图和地理信息领域的着名方法:JENKS的方法。第二个是基于信息标准。我们呈现并面对两种方法。结果呈现了法医昆虫学应用。

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