• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Asian conference on intelligent information and database systems >Solving Inconsistencies in Probabilistic Knowledge Bases via Inconsistency Measures
【24h】

Solving Inconsistencies in Probabilistic Knowledge Bases via Inconsistency Measures

机译：通过不一致性测度解决概率知识库中的不一致性

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In most knowledge-based systems, the guarantee of consistency is one of the essential tasks to ensure them to avoid the trivial cases. Because of this reason, a wide range of approaches has been proposed for restoring consistency. However, these approaches often correspond to logical, or probabilistic-logical framework. In this paper, we investigate a model for restoring the consistency of probabilistic knowledge bases by focusing on the method of changing the probabilities in such knowledge bases. To this aim, a process to restore the consistency based on inconsistency measures is introduced, a set of rational and intuitive axioms to characterize the restoring operators is proposed, and several logical properties are investigated and discussed.
机译：在大多数基于知识的系统中，确保一致性是确保它们避免琐碎情况的重要任务之一。由于这个原因，已经提出了各种各样的方法来恢复一致性。但是，这些方法通常对应于逻辑或概率逻辑框架。在本文中，我们通过研究改变概率知识库的概率的方法，研究了一种恢复概率知识库一致性的模型。为此，介绍了一种基于不一致度量的一致性恢复过程，提出了一套合理直观的公理来表征恢复算子，并研究和讨论了几种逻辑性质。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号