Polynomial-time algorithms for computing distances of fuzzy transition systems

Polynomial-time algorithms for computing distances of fuzzy transition systems
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用于计算模糊转移系统距离的多项式时间算法

DOI:
10.1016/j.tcs.2018.03.002
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发表时间:
2017-01
影响因子:
1.1
通讯作者:
Cao Yongzhi
Cao Yongzhi
中科院分区:
计算机科学4区
文献类型:
--
作者:
Chen Taolue;Han Tingting;Cao Yongzhi

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最近文献中提出了行为距离来度量(非确定性)模糊过渡系统中两个状态的相似性。这样的距离,定义为一个伪超度量的状态空间的模型,提供了一个定量模拟的双相似性。在本文中,我们专注于计算这些距离的问题。我们首先通过引入折扣来扩展伪超度量的定义,使得折扣因子等于1捕获了原始定义。然后,我们提供多项式时间算法来计算的行为距离,在非折扣和折扣设置。在前一种情况下,算法是强多项式的。
Behaviour distances to measure the resemblance of two states in a (nondeterministic) fuzzy transition system have been proposed recently in literature. Such a distance, defined as a pseudo-ultrametric over the state space of the model, provides a quantitative analogue of bisimilarity. In this paper, we focus on the problem of computing these distances. We first extend the definition of the pseudo-ultrametric by introducing discount such that the discounting factor being equal to 1 captures the original definition. We then provide polynomial-time algorithms to calculate the behavioural distances, in both the non-discounted and the discounted setting. The algorithm is strongly polynomial in the former case.
DOI: --
发表时间: --
期刊: --
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