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arXiv 2307.03318cs.FL
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模糊自动机之间的深度有界模糊模拟与互模拟

Depth-Bounded Fuzzy Simulations and Bisimulations between Fuzzy Automata

Linh Anh Nguyen, Ivana Micić, Stefan Stanimirović

AI总结:

本文针对模糊自动机现有模糊模拟与互模拟的不足,提出深度有界模糊模拟/互模拟的近似概念,并给出逻辑刻画及多项式时间计算算法。

摘要:

模拟与互模拟是清晰/模糊自动机理论中已确立的概念,并被广泛用于比较自动机的行为。它们的主要缺点在于它们以清晰的方式比较模糊自动机的行为。最近,针对模糊自动机定义了模糊模拟和模糊互模拟,作为一种近似模拟和近似互模拟,以模糊方式比较模糊自动机的行为。然而,它们仍然存在严重不足。首先,它们仍然无法关联所有直观上“或多或少”(互)相似的模糊自动机。其次,当使用Łukasiewicz或乘积结构的模糊值时,目前已知的计算两个有限模糊自动机之间最大模糊模拟或互模拟的算法具有指数时间复杂度。本工作处理这些问题,提供模糊模拟和模糊互模拟的近似。我们通过一种新颖的模糊关系递减序列概念来定义此类近似,在某些条件下,这些序列的下确界是模糊模拟(分别为互模拟)。我们将这样的序列称为深度有界模糊模拟(分别为互模拟),因为序列中的第$n$个元素比较模糊自动机的行为,但仅针对长度以$n$为界的词。我们进一步通过证明其满足相应的Hennessy-Milner性质,给出了两个模糊自动机之间最大深度有界模糊模拟或互模拟的逻辑刻画。最后,我们提供了多项式时间算法,用于计算两个有限模糊自动机之间最大深度有界模糊模拟(分别为互模拟)的第$n$个分量。

英文摘要:

Simulations and bisimulations are well-established notions in crisp/fuzzy automata theory and are widely used to compare the behaviors of automata. Their main drawback is that they compare the behaviors of fuzzy automata in a crisp manner. Recently, fuzzy simulations and fuzzy bisimulations have been defined for fuzzy automata as a kind of approximate simulations and approximate bisimulations that compare the behaviors of fuzzy automata in a fuzzy manner. However, they still suffer from serious shortcomings. First, they still cannot correlate all fuzzy automata that are intuitively "more or less" (bi)similar. Second, the currently known algorithms for computing the greatest fuzzy simulation or bisimulation between two finite fuzzy automata have an exponential time complexity when the Łukasiewicz or product structure of fuzzy values is used. This work deals with these problems, providing approximations of fuzzy simulations and fuzzy bisimulations. We define such approximations via a novel notion of decreasing sequences of fuzzy relations whose infima are, under some conditions, fuzzy simulations (respectively, bisimulations). We call such a sequence a depth-bounded fuzzy simulation (respectively, bisimulation), as the $n$th element from the sequence compares the behaviors of fuzzy automata, but only for words with a length bounded by $n$. We further provide a logical characterization of the greatest depth-bounded fuzzy simulation or bisimulation between two fuzzy automata by proving that it satisfies the corresponding Hennessy-Milner property. Finally, we provide polynomial-time algorithms for computing the $n$th component of the greatest depth-bounded fuzzy simulation (respectively, bisimulation) between two finite fuzzy automata.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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