关于不一致性的表征:一个基于素数隐含的框架

Saïd Jabbour, Yue Ma, Badran Raddaoui, L. Sais
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引用次数: 8

摘要

测量不一致性被认为是处理不一致性的一个重要问题。好的测度应该满足一组理性性质。然而,定义声音属性有时是有问题的。在本文中,我们强调了一个这样的性质,即优势性,它很少被语法度量所满足。基于素数隐含规范表示,我们首先描述冲突变量的特征,使我们能够改进现有的不一致度量。其次,提出了一种新的知识库内部冲突约束方法。这一措施被证明可以满足一种新的但较弱的统治形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Characterization of Inconsistency: A Prime Implicates Based Framework
Measuring inconsistency is recognized as an important issue for handling inconsistencies. Good measures are supposed to satisfy a set of rational properties. However, defining sound properties is sometimes problematic. In this paper, we emphasize one such property, named dominance, rarely satisfied by syntactic measures. Based on prime implicates canonical representation, we first characterize the conflicting variables allowing us to refine an existing inconsistency measure. Secondly, we propose a new measure, to circumscribe the internal conflicts in a knowledge base. This measure is proved to satisfy a new but weaker form of dominance.
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