Elliptic interval Type-2 intuitionistic fuzzy logic system for non-linear system identification

I.J. Eyoh, U.A. Umoh, U.G. Inyang, O.S. Adeoye
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引用次数: 0

Abstract

An elliptic membership function has been proposed in the literature for interval type-2 fuzzy logic system. In this paper, elliptic non- membership function is incorporated into the conventional elliptic membership function model to obtain elliptic interval type-2 intuitionistic fuzzy sets for the first time. The elliptic interval type-2 intuitionistic fuzzy logic system so formed is applied for the prediction of two benchmark non-linear systems and results compared with Gaussian  interval type-2  intuitionistic fuzzy logic system. Experimental results show that the elliptic interval type-2 intuitionistic  fuzzy logic system outperforms the traditional Gaussian interval type-2 intuitionistic fuzzy logic system in the problem  instances investigated.
用于非线性系统识别的椭圆区间 2 型直觉模糊逻辑系统
文献中提出了一种用于区间型-2 模糊逻辑系统的椭圆成员函数。本文将椭圆非成员函数纳入传统的椭圆成员函数模型,首次得到了椭圆区间 2 型直观模糊集合。本文将由此形成的椭圆区间 2 型直观模糊逻辑系统应用于两个基准非线性系统的预测,并将结果与高斯区间 2 型直观模糊逻辑系统进行了比较。实验结果表明,在所研究的问题实例中,椭圆区间 2 型直觉模糊逻辑系统优于传统的高斯区间 2 型直觉模糊逻辑系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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