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首页> 外文会议>2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems >If I don't know, should I infer? Reasoning around ignorance in a many-valued framework
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If I don't know, should I infer? Reasoning around ignorance in a many-valued framework

机译：如果我不知道，我应该推断吗？在多值框架中围绕无知进行推理

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摘要

Many-valued logic allows to reason with partial truth measured by degrees on a discrete scale, but it suffers from an ambiguous interpretation of the middle truth level, considered as intermediate truth or as ignorance, i.e. inability to assess truth. The L extension introduces an additional value, outside the truth scale, to distinguish between these two notions. This paper studies L from a logical perspective, examining how to reason in this framework: it discusses the definition of appropriate semantics for the logical connectives and it considers an inference task, proposing a Modus Ponens variant for L.
机译：多值逻辑允许使用离散量度上的度数来推理部分真实性，但是它受到对中间真实性水平的模棱两可的解释，被认为是中间真实性或无知，即无法评估真实性。 L扩展引入了真值范围之外的附加值，以区分这两个概念。本文从逻辑的角度研究了L，研究了如何在此框架中进行推理：讨论了逻辑连接词的适当语义的定义，并考虑了推理任务，提出了L的Modus Ponens变体。

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