具有积t范数的模糊描述逻辑

F. Bobillo, U. Straccia
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引用次数: 70

摘要

模糊描述逻辑(Fuzzy dl)是一种描述具有模糊概念的结构化知识的语言。众所周知,模糊算子的选择可以决定一些逻辑性质。然而,目前对模糊dl的研究还局限于Lukasiewicz逻辑和“Zadeh语义”。在这项工作中,我们提出了一种将公共积t范数与标准否定相结合的新语义。我们展示了一些有趣的逻辑性质,并提出了一种基于混合表规则和混合整数二次约束规划的推理算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fuzzy Description Logic with Product T-norm
Fuzzy description logics (fuzzy DLs) have been proposed as a language to describe structured knowledge with vague concepts. It is well known that the choice of the fuzzy operators may determine some logical properties. However, up to date the study of fuzzy DLs has been restricted to the Lukasiewicz logic and the "Zadeh semantics". In this work, we propose a novel semantics combining the common product t-norm with the standard negation. We show some interesting properties of the logic and propose a reasoning algorithm based on a mixture of tableaux rules and the reduction to mixed integer quadratically constrained programming.
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