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Generalised Label Semantics as a Model of Epistemic Vagueness

机译:广义标签语义学作为认知模糊的模型

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A generalised version of the label semantics framework is proposed as an epistemic model of the uncertainty associated with vague description labels. In this framework communicating agents make explicit decisions both about which labels are appropriate to describe an element x ∈ Ω (the underlying universe), and also about which negated labels are appropriate to describe x. It is shown that such a framework can capture a number of different calculi for reasoning with vague concepts as special cases. In particular, different uncertainty assumptions are shown to result in the truth-functional max-min calculus and the standard label semantics calculus.
机译:提出了标签语义框架的通用版本,作为与模糊描述标签相关的不确定性的认知模型。在此框架中,通信主体做出明确的决定,既要确定哪些标签适合描述元素x∈Ω(基础宇宙),又要确定哪些否定标签适合描述x。结果表明,这样的框架可以捕获大量不同的演算,并以模糊的概念作为特殊情况进行推理。特别是,显示了不同的不确定性假设会导致真函数最大-最小演算和标准标签语义演算。

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