Compositional Belief Merging
Compositional Belief Merging
复制标题
组合信念合并
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Marquis
中科院分区：
文献类型：
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作者：
Patricia Everaere;S. Konieczny;P. Marquis
信念融合的目的是从一组信念基础中提取出一个连贯的、信息丰富的观点。信仰合并算子的首要要求是服从基本理性条件。另一个期望的特性是从输入库中保留尽可能多的信息。在本文中，我们展示了如何从现有的合并算子中定义新的合并算子，称为组合算子。这些算子旨在提供比其所基于的合并算子更高的判别能力，而不会导致复杂性转移或失去合理性假设。我们确定了一些充分的条件，以确保合理性是完全保留组成。
Belief merging aims at extracting a coherent and informative view from a set of belief bases. A first requirement for belief merging operators is to obey basic rationality conditions. Another expected property is to preserve as much information as possible from the input bases. In this paper, we show how new merging operators, called compositional operators, can be defined from existing ones. Such operators aim at offering a higher discriminative power than the merging operators on which they are based, without leading to a complexity shift or losing rationality postulates. We identify some sufficient conditions for ensuring that rationality is fully preserved by composition.