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Modified component valuations in valuation based systems as a way to optimize query processing

机译:基于估值系统的修改成分估值作为优化查询处理的方法

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Valuation-Based System can represent knowledge in different domains including probability theory, Dempster-Shafer theory and possibility theory. More recent studies show that the framework of VBS is also appropriate for representing and solving Bayesian decision problems and optimization problems. In this paper, after inteoducing the valuation based system (VBS) framework, we present Markov-like properties of VBS and a method for resolving queries to VBS.
机译:基于估值的系统可以代表不同领域的知识,包括概率理论,Dempster-Shafer理论和可能性理论。 最近的研究表明,VBS的框架也适合代表和解决贝叶斯决策问题和优化问题。 在本文中,在简化基于估值的系统(VBS)框架之后,我们呈现了VBS的Markov样属性以及用于将查询解析为VBS的方法。

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