直觉语言标签:直觉语言数的等价形式

P. Phong, B. Cuong, Le Thi Thu Thuy
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引用次数: 2

摘要

直觉语言标签(ILLs)和直觉语言数(ILNs)是近年来独立发展起来的两种处理直觉语言信息的方法。提出了几种网络聚合算子。本文给出了一类问题的算术平均、加权算术平均、有序加权平均和混合聚合算子。我们进一步研究了上述概念在数学上是等价的。另一方面,ill的聚合算子比iln的聚合算子更简单直观。这表明,在具有直觉性语言信息的多准则决策(MCDM)问题中,我们不是直接聚合iln,而是先将iln转化为弊病,然后再聚合弊病。实验结果也表明,采用第二种方法比采用第一种方法更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intuitionistic linguistic label: An equivalent form of intuitionistic linguistic number
Intuitionistic linguistic labels (ILLs) as well as intuitionistic linguistic numbers (ILNs), which play some first efforts to deal with intuitionistic linguistic information, were independently developed in recent years. Several aggregation operators for ILNs were proposed. In this paper, arithmetic averaging, weighted arithmetic averaging, ordered weighted averaging and hybrid aggregation operators for ILLs are given. We further investigate that the aforementioned concepts are mathematically equivalent. On the other hand, the aggregation operators for ILLs are simpler and more intuitive than the those of ILNs. This suggests that, in the multi-criteria decision making (MCDM) problem with intuitionistic linguistic information, instead of aggregating ILNs directly, we first convert ILNs into ILLs, then aggregate ILLs. The experimental results also indicate that using the second approach is more effective than the first one.
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