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

机译:在基于评估的系统中修改组件评估,作为优化查询处理的一种方式

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摘要

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:基于评估的系统可以代表不同领域的知识,包括概率论,Dempster-Shafer理论和可能性论。最近的研究表明,VBS框架也适用于表示和解决贝叶斯决策问题和优化问题。本文在介绍了基于估价的系统(VBS)框架之后,提出了类似于Markov的VBS属性以及一种解决对VBS的查询的方法。

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