图像模糊集的广义相关系数及其应用

Surender Singh, A. Ganie, Sumita Lalotra
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引用次数: 3

摘要

在不确定/模糊的环境中,图像模糊集(pfs)比不考虑元素中立程度的直觉模糊集(IFSs)发挥着至关重要的作用。本文给出了pfs的广义相关系数及其一些性质。通过数值算例,讨论了所提出的广义相关系数在模式识别和多属性决策中的有效性和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Generalized Correlation Coefficients of Picture Fuzzy Sets With Their Applications
Picture fuzzy sets (PFSs) play a crucial role in uncertain/vague environments than intuitionistic fuzzy sets (IFSs) which do not take into consideration the degree of neutrality of an element. In this paper, the authors have proposed generalized correlation coefficients of PFSs along with some properties. The effectiveness and application of the proposed generalized correlation coefficients of PFSs in pattern recognition and multi-attribute decision making (MADM) is also discussed with the help of numerical examples.
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