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Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions

机译:信念函数的组合组合中的对立冲突警报

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In the framework of belief functions, information fusion is based on the construction of a unique belief function resulting from the combination of available belief functions induced from several information sources. When sources are reliable and distinct, Smets' conjunctive rule, which is equivalent to Dempster's rule of combination without the normalization process, can be considered. This rule offers interesting properties, but in return the empty set is an absorbing element: a series of conjunctive combinations tends to bring a mass equal to 1 to the empty set, making impossible the distinction between a real problem and an effect due to this absorbing effect of the empty set. Then a formalism allowing the preservation of the conflict which reflects the opposition between sources, is introduced in this paper. Based on the normalization process and on distance measures between belief functions, it is tested and compared with classic conjunctive operators on synthetic belief functions.
机译:在置信度函数的框架中,信息融合基于唯一置信度函数的构建,该置信度函数是从多个信息源中得出的可用置信度函数的组合产生的。当源可靠且独特时,可以考虑Smets的合取规则,该规则等同于没有标准化过程的Dempster合并规则。该规则提供了有趣的特性,但作为回报,空集是一个吸收元素:一系列的合取组合往往会给空集带来等于1的质量,从而无法区分真实问题和由于吸收而产生的效果空集的效果。然后,本文介绍了一种形式主义,允许保留反映来源之间的对立的冲突。基于归一化过程和信念函数之间的距离度量,对它进行了测试,并与经典合取算子对合成信念函数进行了比较。

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