原型和反例的逻辑:可能性和限制

T. Vetterlein
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引用次数: 7

摘要

模糊集是一种常用的模糊属性建模工具。然而,众所周知,这个模型通常包含很大程度的随意性。在这篇文章中,我们考虑了标准化模糊集的构造的可能性,至少是关于边界情况的。为此,我们用明显的正情况和明显的负情况的集合来识别模糊属性,并且在假设话语域是度量空间的情况下,我们通过可以描述为线性插值的方法来确定模糊集。根据这个想法,我们讨论了一些基于逻辑的模糊推理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logic of prototypes and counterexamples: possibilities and limits
Fuzzy sets are a popular tool to model vague properties. It is, however, well-known that this model usually involves a good degree of arbitrariness. In this contribution we consider the possibility of standardising the construction of fuzzy sets at least with regard to the borderline cases. To this end, we identify a vague property with the sets of clearly positive cases and clearly negative cases and under the assumption that the universe of discourse is a metric space, we determine the fuzzy set by what can be described as a linear interpolation. Following this idea, we discuss a number of logic-based approaches to reasoning under vagueness.
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