单参数直觉模糊集及其在模式识别中的应用

2011 Fourth International Symposium on Computational Intelligence and Design Pub Date : 2011-10-28 DOI:10.1109/ISCID.2011.90

Zhenhua Zhang, Jingyu Yang, Youpei Ye, Xiaorong Wu

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引用次数: 3

摘要

本文首先引入了带有参数的直觉模糊集的概念。通过对犹豫度的分析，重点研究了单参数直觉模糊集的构造和应用。最后，给出了一个模式识别实例来说明IFSSP的应用。实验结果表明，我们可以将参数调整到合适的值以获得期望的结果，因此，IFSSP方法比传统的直觉模糊集方法更全面，更灵活。

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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Intuitionistic Fuzzy Sets with Single Parameter and its Application to Pattern Recognition

The concept of intuitionistic fuzzy sets with parameters (IFSP) is first introduced in this paper. By analyzing the degree of hesitancy, this paper concentrates on the construction and application of intuitionistic fuzzy sets with single parameter (IFSSP). Finally, a pattern recognition example is given to demonstrate the application of IFSSP. The experimental results show that we can adjust the parameter to appropriate value to obtain the desired result, therefore, the method of IFSSP is more comprehensive and flexible than that of traditional intuitionistic fuzzy sets.

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2011 Fourth International Symposium on Computational Intelligence and Design

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