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Center-of-gravity fuzzy systems based on normal fuzzy implications

机译:基于正态模糊含意的重心模糊系统

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In this paper, the construction and approximation problem of a single input and single output (SISO) fuzzy system with normal implication and center-of-gravity defuzzifier is discussed. First, the method of a non-singleton fuzzifier for the input variable and the concept of an adaptive universe for the output fuzzy set are proposed. Then, by using this method and this concept of an adaptive universe, SISO fuzzy systems based on center-of-gravity defuzzifier and normal implications such as the Kleene-Dienes implication or the Lukasiewicz implication are constructed. The constructed fuzzy systems have the general formS(x) =A_i~*(x)f(x_i)+A_(i+1_~*(x)f(x_(i+1)),withA_i~*(x)+A_(i+1)~*(x) = 1, and, furthermore, they are universal approximators. The sufficient conditions for the proposed fuzzy systems to be universal approximators are also obtained. To illustrate the universal property, an example is also given.
机译:本文讨论了具有正则蕴涵和重心解模糊器的单输入单输出(SISO)模糊系统的构造和逼近问题。首先,提出了一种针对输入变量的非单模模糊器的方法以及针对输出模糊集的自适应宇宙的概念。然后,通过使用这种方法和自适应宇宙的概念,构建了基于重心解模糊器和正则含义(例如Kleene-Dienes蕴涵或Lukasiewicz蕴涵)的SISO模糊系统。构造的模糊系统的一般形式为S(x)= A_i〜*(x)f(x_i)+ A_(i + 1_〜*(x)f(x_(i + 1)),其中A_i〜*(x)+ A_(i + 1)〜*(x)= 1,并且,它们是通用逼近器,并且为拟议的模糊系统成为通用逼近器提供了充分的条件,并举例说明了通用性。 。

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