论文标题
定量论证的模糊标签语义
Fuzzy Labeling Semantics for Quantitative Argumentation
论文作者
论文摘要
评估定量论证系统中的论证强度在抽象论证领域受到了越来越多的关注。可接受性程度的概念在逐渐的语义中被广泛采用，但是，在许多实际应用中可能还不够。在本文中，我们为模糊论点系统提供了一种新颖的定量方法，称为模糊标记，其中使用了可接受性，可拒绝性和不可证明性的三倍来评估论证强度。这样的设置为定义论证强度提供了新的启示，并对论点的地位有了更深入的了解。更具体地说，我们研究了模糊标签的假设，这些假设列出了语义上关于可接受性，可拒绝性和不可证明性的合理性要求。然后，我们提出了一类模糊的标记语义，符合上述假设，并研究了模糊标签语义和文献中现有作品之间的关系。
Evaluating argument strength in quantitative argumentation systems has received increasing attention in the field of abstract argumentation. The concept of acceptability degree is widely adopted in gradual semantics, however, it may not be sufficient in many practical applications. In this paper, we provide a novel quantitative method called fuzzy labeling for fuzzy argumentation systems, in which a triple of acceptability, rejectability, and undecidability degrees is used to evaluate argument strength. Such a setting sheds new light on defining argument strength and provides a deeper understanding of the status of arguments. More specifically, we investigate the postulates of fuzzy labeling, which present the rationality requirements for semantics concerning the acceptability, rejectability, and undecidability degrees. We then propose a class of fuzzy labeling semantics conforming to the above postulates and investigate the relations between fuzzy labeling semantics and existing work in the literature.
