Deterministic fuzzy two-dimensional on-line tessellation automata and their languages

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Chao Yang , Xiaobing Sun , Qingyu He , Qichao Wang , Yongming Li
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引用次数: 0

Abstract

The main work of this paper is to extend deterministic two-dimensional on-line tessellation automata (D2OTAs) to the fuzzy setting. We call these new automata models deterministic fuzzy two-dimensional on-line tessellation automata (DF2OTAs) and focus on some of their properties. Concretely, we firstly give the definitions of DF2OTAs and the fuzzy picture languages recognized by them. Next, the closure properties of the collection of fuzzy picture languages recognized by DF2OTAs are concentrated on under some familiar operations. The decomposition theorem, the representation theorem and the Pumping lemma, which are studied in the theory of fuzzy string automata and the related languages, are also considered scrupulously in the framework of DF2OTAs and their languages. Then, we put forward the concepts of transition-accessible DF2OTAs and state-accessible DF2OTAs, and conclude that transition-accessible DF2OTAs are special state-accessible DF2OTAs and DF2OTAs are equivalent to state-accessible DF2OTAs. Finally, state reduction relations on state-accessible DF2OTAs are defined to study the problem of the state reduction of DF2OTAs. Given a state-accessible DF2OTA A, in order to construct the factor DF2OTA of A with respect to a state reduction relation on A such that this factor one is equivalent to A and possesses a fewer states, we design a polynomial-time algorithm to compute the largest state reduction relation and then construct the corresponding factor automaton.

确定性模糊二维在线细分自动机及其语言
本文的主要工作是将确定性二维在线细分自动机(D2OTAs)扩展到模糊环境。我们称这些新的自动机模型为确定性模糊二维在线细分自动机(DF2OTAs),并重点讨论了它们的一些特性。具体来说,我们首先给出了 DF2OTAs 的定义以及它们所能识别的模糊图像语言。接下来,在一些熟悉的运算下,集中讨论 DF2OTAs 所识别的模糊图画语言集合的闭包性质。在模糊弦自动机及其相关语言理论中研究的分解定理、表示定理和抽水稃也在 DF2OTAs 及其语言的框架中得到了严格的考虑。然后,我们提出了过渡可及 DF2OTAs 和状态可及 DF2OTAs 的概念,并得出结论:过渡可及 DF2OTAs 是特殊的状态可及 DF2OTAs,DF2OTAs 等价于状态可及 DF2OTAs。最后,定义了状态可及 DF2OTAs 的状态还原关系,以研究 DF2OTAs 的状态还原问题。给定一个状态可及的 DF2OTA A,为了构造 A 的因子 DF2OTA,使该因子等价于 A 并具有较少的状态,我们设计了一种多项式时间算法来计算最大的状态还原关系,然后构造相应的因子自动机。
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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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