数学
模糊集运算
模糊集
模糊分类
2型模糊集与系统
模糊数
模糊数学
度量(数据仓库)
离散数学
模糊测度理论
模糊逻辑
域代数上的
计算机科学
纯数学
人工智能
数据挖掘
作者
Maciej Krawczak,Grażyna Szkatuła
标识
DOI:10.1016/j.ins.2019.11.050
摘要
In the paper, we describe the new measure of matching two intuitionistic fuzzy sets. The operations known in the intuitionistic fuzzy set theory are used, and the perturbation of one intuitionistic fuzzy set by another intuitionistic fuzzy set is understood as an impact of one intuitionistic fuzzy set on another intuitionistic fuzzy set. The opposite case can also be considered wherein the second intuitionistic fuzzy set is perturbed by the first one. The introduced measure of the perturbation of one intuitionistic fuzzy set by another intuitionistic fuzzy set is considered instead of commonly used distance between two intuitionistic fuzzy sets. In general, the new measure can be asymmetric and therefore can provide more information compare to a distance between intuitionistic fuzzy sets. The values of such measures of intuitionistic fuzzy sets’ perturbation are ranged between 0 and 1. In this paper specific mathematical properties of the measure of intuitionistic fuzzy sets’ perturbation are studied. The presented methodology is explained by several illustrative examples.
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