The concept of fuzzy number intuitionistic fuzzy sets (FNIFSs) is designed to effectively depict uncertain information in decision making problems which fundamental characteristic of the FNIFS is that the values of its membership function and non-membership function are depicted with triangular fuzzy numbers (TFNs). The dual Hamy mean (DHM) operator gets good performance in the process of information aggregation due to its ability to capturing the interrelationships among aggregated values. In this paper, we used the dual Hamy mean (DHM) operator and dual weighted Hamy mean (WDHM) operator with fuzzy number intuitionistic fuzzy numbers (FNIFNs) to propose the fuzzy number intuitionistic fuzzy dual Hamy mean (FNIFDHM) operator and fuzzy number intuitionistic fuzzy weighted dual Hamy mean (FNIFWDHM) operator. Then the MADM methods are proposed along with these operators. In the end, we utilize an applicable example for computer network security evaluation to prove the proposed methods.

中文翻译：

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用模糊数直觉模糊对偶Hammy算子评估计算机网络安全性的方法

设计模糊数直觉模糊集（FNIFS）的概念是为了有效地描述决策问题中的不确定信息，其基本特征是用三角模糊数（TFNs）描绘其隶属函数和非隶属函数的值。对偶Hamy均值（DHM）运算符由于能够捕获聚合值之间的相互关系而在信息聚合过程中获得了良好的性能。本文使用具有模糊数直觉模糊数（FNIFNs）的双重Hamy均值（DHM）算子和双重加权Hamy均值（WDHM）算子来提出模糊数直觉的模糊双重Hamy均值（FNIFDHM）算子和模糊数直觉模糊加权对偶Hamy均值（FNIFWDHM）运算符。然后与这些算子一起提出了MADM方法。最后，我们利用一个适用于计算机网络安全评估的例子来证明所提出的方法。