A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces

S. Tull
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引用次数: 5

Abstract

We define a symmetric monoidal category modelling fuzzy concepts and fuzzy conceptual reasoning within G\"ardenfors' framework of conceptual (convex) spaces. We propose log-concave functions as models of fuzzy concepts, showing that these are the most general choice satisfying a criterion due to G\"ardenfors and which are well-behaved compositionally. We then generalise these to define the category of log-concave probabilistic channels between convex spaces, which allows one to model fuzzy reasoning with noisy inputs, and provides a novel example of a Markov category.
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概念空间中模糊概念的范畴语义
我们在概念(凸)空间的G\ ardenfors框架内定义了一个对称的一元范畴来建模模糊概念和模糊概念推理。我们建议log-concave函数作为模型的模糊概念,表明这些是最通用的选择满足标准由于G \“ardenfors和功能良好的构图。然后,我们将这些推广到定义凸空间之间的对数凹概率通道的类别,这允许人们对带有噪声输入的模糊推理进行建模,并提供了马尔可夫类别的新示例。
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