Abstract An important problem in Fuzzy OWL 2 ontology building is the definition of fuzzy membership functions for real-valued fuzzy sets (so-called fuzzy datatypes in Fuzzy OWL 2 terminology). In this paper, we present a tool, called Fudge, whose aim is to support the consensual creation of fuzzy datatypes by aggregating the specifications given by a group of experts. Fudge is freeware and currently supports several linguistic aggregation strategies, including the convex combination, linguistic OWA, weighted mean and fuzzy OWA, and easily allows to build others in. We also propose and have implemented two novel linguistic aggregation operators, based on a left recursive form of the convex combination and of the linguistic OWA.

中文翻译：

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Fudge：具有共识模糊数据类型的模糊本体构建

摘要 Fuzzy OWL 2本体构建中的一个重要问题是实值模糊集（Fuzzy OWL 2术语中所谓的模糊数据类型）的模糊隶属函数的定义。在本文中，我们提出了一个名为 Fudge 的工具，其目的是通过聚合一组专家给出的规范来支持模糊数据类型的共识创建。Fudge 是免费软件，目前支持多种语言聚合策略，包括凸组合、语言 OWA、加权平均和模糊 OWA，并且可以轻松构建其他策略。我们还提出并实现了两种基于左递归的新型语言聚合运算符凸组合和语言 OWA 的形式。