论文标题
计算模糊结构的清晰的两次仿制
Computing Crisp Bisimulations for Fuzzy Structures
论文作者
论文摘要
模糊自动机,模糊过渡系统,加权社交网络和模糊解释的模糊结构已被广泛研究。对于此类结构,仿真是表征州或个人之间不可分性性的自然概念。模糊结构有两种两种两种两种两种两种两种分配:酥脆的两次仿制和模糊之二。尽管后者适合模糊范式,但由于使用清晰的等效关系,例如在最小化结构中,前者也引起了人们的关注。可以针对模糊标记的图制定双象征,然后改编成其他模糊结构。在本文中,我们提出了一种有效的算法,用于计算与给定有限模糊图形图的最大酥脆分配的分区。它的复杂性是$ o(((m \ log {l} + n)\ log {n})$,其中$ n $,$ m $和$ l $是顶点的数量,非零边缘的数量和不同输入图边缘的不同模糊度的数量。我们还研究了与计数后继者的设置相似的问题,该问题与模态逻辑中的描述逻辑中的合格数字限制和分级模式相对应。特别是,我们为复杂性$ o((M \ log {m} + n)\ log {n})$提供有效的算法,以解决该设置中的问题。
Fuzzy structures such as fuzzy automata, fuzzy transition systems, weighted social networks and fuzzy interpretations in fuzzy description logics have been widely studied. For such structures, bisimulation is a natural notion for characterizing indiscernibility between states or individuals. There are two kinds of bisimulations for fuzzy structures: crisp bisimulations and fuzzy bisimulations. While the latter fits to the fuzzy paradigm, the former has also attracted attention due to the application of crisp equivalence relations, for example, in minimizing structures. Bisimulations can be formulated for fuzzy labeled graphs and then adapted to other fuzzy structures. In this article, we present an efficient algorithm for computing the partition corresponding to the largest crisp bisimulation of a given finite fuzzy labeled graph. Its complexity is of order $O((m\log{l} + n)\log{n})$, where $n$, $m$ and $l$ are the number of vertices, the number of nonzero edges and the number of different fuzzy degrees of edges of the input graph, respectively. We also study a similar problem for the setting with counting successors, which corresponds to the case with qualified number restrictions in description logics and graded modalities in modal logics. In particular, we provide an efficient algorithm with the complexity $O((m\log{m} + n)\log{n})$ for the considered problem in that setting.