A New Minkowski Distance Based on Induced Aggregation Operators

  • Merigó J
  • Casanovas M
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Minkowski distance is a distance measure that generalizes a widerange of distances such as the Hamming and the Euclidean distance. Inthis paper, we develop a generalization of the Minkowski distance byusing the induced ordered weighted averaging (IOWA) operator. We call itthe induced Minkowski OWA distance (IMOWAD) or induced generalized OWAdistance (IGOWAD) operator. Then, we are able to obtain a wide range ofdistance measures that includes the Minkowski distance, the MinkowskiOWA distance (MOWAD), and the induced OWA distance (IOWAD). We alsopresent a further generalization by using quasi-arithmetic means. We endthe paper with a numerical example of the new approach.

Cite

CITATION STYLE

APA

Merigó, J. M., & Casanovas, M. (2011). A New Minkowski Distance Based on Induced Aggregation Operators. International Journal of Computational Intelligence Systems, 4(2), 123. https://doi.org/10.2991/ijcis.2011.4.2.1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free