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Heterogeneous Approximate Reasoning with Graded Truth Values

机译:分级真值的异构近似推理

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This paper is devoted to paraconsistent approximate reasoning with graded truth-values. In the previous research we introduced a family of many-valued logics parameterized by a variable number of truth/falsity grades together with a corresponding family of rule languages with tractable query evaluation. Such grades are shown here to be a natural qualitative counterpart of quantitative measures used in various forms of approximate reasoning. The developed methodology allows one to obtain a framework unifying heterogeneous reasoning techniques, providing also the logical machinery to resolve partial and incoherent information that may arise after unification. Finally, we show the introduced framework in action, emphasizing its expressiveness in handling heterogeneous approximate reasoning in realistic scenarios.
机译:本文致力于采用分级真值的超一致近似推理。在先前的研究中,我们引入了一组由可变数量的真/假等级参数化的多值逻辑,以及相应的带有易处理查询评估的规则语言家族。此处所示的等级是在各种形式的近似推理中使用的定量度量的自然定性对应物。所开发的方法论允许人们获得一个统一异类推理技术的框架,还提供了一种逻辑机制来解决统一后可能出现的部分和不连贯的信息。最后,我们展示了所介绍的框架的实际作用,强调了它在现实场景中处理异构近似推理时的表现力。

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