Relative approximate bisimulations for fuzzy picture automata

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Chao Yang , Ruiling Wu , Xiaobing Sun , Qichao Wang , Yongming Li
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引用次数: 0

Abstract

In this paper, we firstly give the notion of relative ϵ-approximate bisimulations between two fuzzy two-dimensional on-line tessellation automata (F2OTAs) and elaborate that the relative error between two F2OTAs, accompanying with a relative ϵ-approximate bisimulation between them, is less than or equal to ϵ where ϵ[0,1]. Moreover, if relative ϵ-approximate bisimulations between two F2OTAs are restricted to be surjective functional, then some properties are drawn and by which relative ϵ-approximate bisimulations on a F2OTA are defined. We construct the factor F2OTA of a F2OTA with respect to a relative ϵ-approximate bisimulation on it and describe the relationship between this factor automaton and the original F2OTA. Whereafter, we novelly design two algorithms to compute all maximal relative ϵ-approximate bisimulations on a given F2OTA. Finally, we discuss some interesting properties of bisimulations on F2OTAs.

模糊图象自动机的相对近似二拟合
本文首先给出了两个模糊二维在线分解自动机(F2OTA)之间的相对ϵ-近似二拟合的概念,并阐述了两个F2OTA之间的相对误差,伴随着它们之间的相对ϵ-近似二拟合,小于或等于ϵ,其中ϵ∈[0,1]。此外,如果限制两个 F2OTA 之间的相对ϵ-近似二似为射函数,那么就可以得出一些性质,并通过这些性质定义 F2OTA 上的相对ϵ-近似二似。我们根据 F2OTA 上的相对ϵ-近似二拟合构建了 F2OTA 的因子 F2OTA,并描述了该因子自动机与原始 F2OTA 之间的关系。此后,我们新颖地设计了两种算法来计算给定 F2OTA 上的所有最大相对ϵ 近似二拟态。最后,我们讨论了 F2OTA 上二拟合的一些有趣性质。
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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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