直觉模糊自动机理论是自动机理论的一个重要分支。
Intuitionistic fuzzy finite automata theory is an important part of automata theory.
当使用模糊自动机(FA)进行识别紊乱波纹时，这些模糊几何特征是最好的。
The fuzzy geometrical features are found to be the best for recognizing distorted overlapping waves of signal when fuzzy Automata (FA) are used.
第二章提出了一种新的不完全的增加结构算法，该算法结合了非循环确定模糊自动机的性质。
In Chapter 2, we present a new semi-incremental algorithm, which combined with properties of acyclic deterministic fuzzy automata.
新算法由两部分构成：增加模糊字符串到最小非循环确定模糊自动机和最小化增加模糊字符串后得到的自动机。
The new algorithm is composed of two parts: adding fuzzy strings to minimal acyclic deterministic fuzzy finite state automata (ADFFAs) and minimizing the resulting automata.
到目前为止，我们所研究的模糊或非模糊的自动机都是有限状态自动机。
The automata of fuzzy or defuzzization what we study are all finite-state automata so far.
另外，本文也对模糊元胞自动机理论本身进行了探讨，尝试着将模糊逻辑引入到元胞自动机模型中，定义了模糊元胞自动机。
Otherwise, this paper also discusses the theory of cellular automata itself, tries to put fuzzy logic into the cellular automata, and gives the definition of fuzzy cellular automata.
本文研究了模糊有限自动机的分类和模糊有限自动机的状态最小化算法。
This paper is concerned with the classification of fuzzy finite automata and the minimization algorithm of fuzzy finite automata.
本文提出一种识别在线手写汉字笔划的模糊属性自动机，为汉字识别打下了基础。
A fuzzy attributed automaton for on-Iine recognition of Chinese character strokes is proposed.
本文提出了一种模糊查询控制的模型，这个模型吸收了两种思想，即有穷自动机思想和聚类分组算法，基础是采用了分组算法。
This passage presents a model of fuzzy query control, which absorbs two kinds of conceptions that is DMA and Clustering Algorithm, with the Clustering Algorithm as the most basic groundwork.
本文提出了一种模糊查询控制的模型，这个模型吸收了两种思想，即有穷自动机思想和聚类分组算法，基础是采用了分组算法。
This passage presents a model of fuzzy query control, which absorbs two kinds of conceptions that is DMA and Clustering Algorithm, with the Clustering Algorithm as the most basic groundwork.
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