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在覆盖粗糙直觉模糊集模型的基础上,将粗糙度和粗糙熵的概念引入到该模型中,研究直觉模糊集的不确定程度,讨论了该度量的相关性质,并通过两个例子证明了直觉模糊集的模糊粗糙度和粗糙熵随着该模型覆盖变细而单调减少。
On the basis of covering the rough intuitionistic fuzzy set model, the concepts of roughness and rough entropy are introduced into the model to study the degree of uncertainty of the intuitionistic fuzzy set, and the related properties of the metric are discussed. The intuition is proved by two examples The fuzzy roughness and the rough entropy of the fuzzy set monotonically decrease as the model becomes thinner.