Some notes on the relationships between intuitionistic fuzzy sets and correlation analysis

A. Michalíková, Adam Dudáš
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Abstract

In the real world applications it is common that relationship between tuples of attributes of dimension higher than two need to be examined. It is well known that correlation analysis is focused on measuring of strength and direction of relationship between a pair of attributes. Algorithms using intercriteria analysis that solve the problem of measuring the strength of relationship between triples, quadruples, etc., were designed previously. The research presented in this paper is motivated by possibilities of using intuitionistic fuzzy equivalence relations to classify the data into the specific classes. The objective of this work is to use the values of correlation coefficients and compute the relationship between more than two attributes. The results are compared with the results obtained by intercriteria analysis.
关于直觉模糊集与相关分析之间关系的一些说明
在现实世界的应用中,通常需要检查维度大于 2 的属性元组之间的关系。众所周知,相关性分析的重点是测量一对属性之间关系的强度和方向。以前曾设计过使用标准间分析的算法来解决测量三元组、四元组等之间关系强度的问题。本文研究的动机是利用直觉模糊等价关系将数据归入特定类别的可能性。这项工作的目的是使用相关系数值,计算两个以上属性之间的关系。计算结果与标准间分析得出的结果进行了比较。
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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