Aspects of object merging

A. Bronselaer, Guy De Trea
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引用次数: 13

Abstract

Information fusion is a research area that investigates how to combine information provided by independent sources into one piece of information. This topic has been studied for several applications leading to, amongst others, aggregation operators in bounded lattices and merge functions of propositional belief bases. In this paper, information fusion is investigated in the context of coreferent objects, which are objects that refer to the same real world entity. Some important properties of object merge functions are pointed out and object merge functions for both atomic and complex objects are investigated in a possibilistic framework. It is shown how merge functions for complex objects can be composed of merge functions for atomic objects, such that the composite function inherits the properties of the merge functions from which it is composed.
对象合并的几个方面
信息融合是研究如何将独立来源提供的信息组合成一条信息的一个研究领域。这一主题已经研究了几个应用,其中包括有界格中的聚集算子和命题信念基的合并函数。本文研究了共指对象(coreferent objects)背景下的信息融合,共指对象指的是同一个现实世界实体。指出了对象合并函数的一些重要性质,并在可能性框架下研究了原子对象和复杂对象的对象合并函数。演示了如何将复杂对象的合并函数由原子对象的合并函数组成,从而使组合函数继承组成它的合并函数的属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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