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Aggregation functions on n-dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making
International Journal of Approximate Reasoning ( IF 3.9 ) Pub Date : 2021-07-01 , DOI: 10.1016/j.ijar.2021.06.008
Thadeu Milfont , Ivan Mezzomo , Benjamin Bedregal , Edmundo Mansilla , Humberto Bustince

n-Dimensional fuzzy sets are a fuzzy set extension where the membership values are n-tuples of real numbers in the unit interval [0,1] increasingly ordered, called n-dimensional intervals. The set of n-dimensional intervals is denoted by Ln([0,1]). This paper aims to investigate semi-vector spaces over a weak semifield and aggregation functions concerning an admissible order on the set of n-dimensional intervals and the construction of aggregation functions on Ln([0,1]) based on the operations of the semi-vector spaces. In particular, extensions of the family of OWA and weighted average aggregation functions are investigated. Finally, we develop a multi-criteria group decision-making method based on n-dimensional aggregation functions with respect to an admissible order and give an illustrative example.



中文翻译:

n维有序向量上的聚合函数具有可接受的阶数及其在多准则群决策中的应用

n维模糊集是模糊集的扩展,其中隶属度值是单位区间内实数的n元组[0,1]越来越有序,称为n维区间。一组n维区间表示为n([0,1]). 本文旨在研究弱半场上的半向量空间和关于n维区间集上的可容许阶的聚合函数,以及聚合函数的构造n([0,1])基于半向量空间的运算。特别是,研究了 OWA 家族的扩展和加权平均聚合函数。最后,我们开发了一种基于n维聚合函数的多准则群决策方法,并给出了一个示例。

更新日期:2021-07-19
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