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arXiv 2008.02857cs.LO
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Gödel语义下模糊描述逻辑的互模拟与互相似性

Bisimulation and bisimilarity for fuzzy description logics under the Gödel semantics

Linh Anh Nguyen, Quang-Thuy Ha, Ngoc Thanh Nguyen, Thi Hong Khanh Nguyen, Thanh-Luong Tran

摘要:

描述逻辑(DL)是一个合适的形式主义表示领域的知识,其中对象描述不仅由属性,但也由对象之间的二元关系。模糊扩展的DL可以用于这样的领域时,他们的数据和知识是模糊和不精确的。在这样的领域中指定对象类的可能方法之一是使用模糊DL中的概念。由于DL是模态逻辑的变体,DL中的不相容性的特征在于双相似性。解释的双相似关系是该解释的最大自互模拟。在DL及其模糊扩展中,这种等价关系可以用于概念学习。本文定义并研究了Gödel语义下模糊逻辑的模糊互模拟和双相似性,以及扩展了对合否定的模糊逻辑的清晰互模拟和强双相似性。所考虑的逻辑是模糊扩展的DL $\mathcal{ALC}_{reg}$(PDL的一个变种)与其他功能之间的逆角色,名词,(合格或不合格)的数量限制,普遍的作用,局部自反的作用和对合否定。我们制定和证明结果不变性的概念下模糊(分别)。清晰)互模拟,条件不变性的模糊TBoxex/ABoxes下的双相似性(分别)。强双相似性),和模糊的Hennessy-Milner性质(分别为)。清晰)互模拟的模糊DL没有(分别)。Gödel语义学下的对合否定。除了这些基本的结果,我们还提供了使用模糊互模拟分离模糊DL的表达能力,以及使用强双相似性,以尽量减少模糊解释的结果。

英文摘要:

Description logics (DLs) are a suitable formalism for representing knowledge about domains in which objects are described not only by attributes but also by binary relations between objects. Fuzzy extensions of DLs can be used for such domains when data and knowledge about them are vague and imprecise. One of the possible ways to specify classes of objects in such domains is to use concepts in fuzzy DLs. As DLs are variants of modal logics, indiscernibility in DLs is characterized by bisimilarity. The bisimilarity relation of an interpretation is the largest auto-bisimulation of that interpretation. In DLs and their fuzzy extensions, such equivalence relations can be used for concept learning. In this paper, we define and study fuzzy bisimulation and bisimilarity for fuzzy DLs under the Gödel semantics, as well as crisp bisimulation and strong bisimilarity for such logics extended with involutive negation. The considered logics are fuzzy extensions of the DL $\mathcal{ALC}_{reg}$ (a variant of PDL) with additional features among inverse roles, nominals, (qualified or unqualified) number restrictions, the universal role, local reflexivity of a role and involutive negation. We formulate and prove results on invariance of concepts under fuzzy (resp. crisp) bisimulation, conditional invariance of fuzzy TBoxex/ABoxes under bisimilarity (resp. strong bisimilarity), and the Hennessy-Milner property of fuzzy (resp. crisp) bisimulation for fuzzy DLs without (resp. with) involutive negation under the Gödel semantics. Apart from these fundamental results, we also provide results on using fuzzy bisimulation to separate the expressive powers of fuzzy DLs, as well as results on using strong bisimilarity to minimize fuzzy interpretations.

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