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Generalized fuzzy rough description logics

机译:广义模糊粗糙描述逻辑

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摘要

Description logics (DLs) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Classical DLs are not suitable to represent vague pieces of information. The attempts to achieve a solution have led to the birth of fuzzy DLs and rough DLs. In this work, we provide a simple solution to join these two formalisms and define a fuzzy rough DL. This logic is more general than other related approaches, including tight and loose fuzzy rough approximations and being independent of the fuzzy logic operators considered. We show the usefulness of our approach by presenting some uses case, and we also describe how to extend two reasoning algorithms for fuzzy DLs, which are implemented in the fuzzy DL reasoners fuzzyDL and DeLorean.
机译:描述逻辑(DL)是用于表示结构化知识的一系列逻辑,这些逻辑已被证明作为本体语言非常有用。经典DL不适合表示模糊的信息。寻求解决方案的尝试导致了模糊DL和粗糙DL的诞生。在这项工作中,我们提供了将这两种形式主义结合起来并定义模糊粗糙DL的简单解决方案。该逻辑比其他相关方法更通用,包括严格和宽松的模糊粗略近似,并且独立于所考虑的模糊逻辑算符。通过展示一些用例,我们展示了该方法的有用性,并且我们还描述了如何扩展模糊DL推理器FuzzyDL和DeLorean中实现的两种模糊DL推理算法。

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