English

Aggregation functions on n-dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making

Optimization and Control 2021-01-29 v1

Abstract

nn-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])L_n([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 nn-dimensional intervals and the construction of aggregation functions on Ln([0,1])L_n([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.

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}
}