Aggregation functions on n-dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making
Abstract
-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 . This paper aims to investigate semi-vector spaces over a weak semifield and aggregation functions concerning an admissible order on the set of -dimensional intervals and the construction of aggregation functions on 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.
Keywords
Cite
@article{arxiv.2101.12030,
title = {Aggregation functions on n-dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making},
author = {Thadeu Milfont and Ivan Mezzomo and Benjamín Bedregal and Edmundo Mansilla and Humberto Bustince},
journal= {arXiv preprint arXiv:2101.12030},
year = {2021}
}