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The efficiency of minimum operator for fuzzy automata: A case study

机译:模糊自动机的最小算子效率:一个案例研究

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This paper is a continuation of our previous work [1], [2], in which we studied the properties of fuzzy automata with the help of VHDL simulations. In our previous studies we saw that in many cases, the standard combination of min-max norms, which are the most common operators used in fuzzy logic, often do not yield stable fuzzy automata. In this paper we will investigate some methods of using the min-max norms as well as some situations where they can improve the behavior of a fuzzy automaton. Here we will investigate the impact that the t-norm has on the states and output values of a fuzzy automaton; as such we will be focusing on the “minimum” operator.
机译:本文是我们先前工作[1],[2]的延续,其中我们借助VHDL仿真研究了模糊自动机的属性。在我们以前的研究中,我们发现在许多情况下,最小-最大范数的标准组合是模糊逻辑中最常用的运算符,通常不会产生稳定的模糊自动机。在本文中,我们将研究使用最小-最大范数的一些方法,以及可以改善模糊自动机行为的某些情况。在这里,我们将研究t范数对模糊自动机的状态和输出值的影响;因此,我们将专注于“最小”运算符。

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