Uncertainty modelling for vague concepts: A prototype theory approach
Uncertainty modelling for vague concepts: A prototype theory approach
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DOI：
10.1016/j.artint.2009.07.006
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
J. Lawry;Yongchuan Tang
中科院分区：
文献类型：
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作者：
J. Lawry;Yongchuan Tang
引入了模糊概念不确定性的认知模型。标签语义学理论被提出作为一个框架，用于量化主体关于什么标签适合描述给定示例的不确定性。通过引入描述标签元素与原型之间距离的不确定阈值，提出了一种结合原型理论的标签语义解释。这种解释自然会产生一种适当衡量标准的函数演算。讨论了一个更一般的模型，对于不同的标签具有不同的阈值变量，并展示了如何在该模型中捕获不同类型的语义依赖。
An epistemic model of the uncertainty associated with vague concepts is introduced. Label semantics theory is proposed as a framework for quantifying an agent's uncertainty concerning what labels are appropriate to describe a given example. An interpretation of label semantics is then proposed which incorporates prototype theory by introducing uncertain thresholds on the distance between elements and prototypes for description labels. This interpretation naturally generates a functional calculus for appropriateness measures. A more general model with distinct threshold variables for different labels is discussed and we show how different kinds of semantic dependence can be captured in this model.