Fuzzy Characterization of Near-Earth-Asteroids

TL;DR

This paper introduces a fuzzy logic-based method to classify and analyze the long-term dynamical behavior of Near-Earth-Asteroids, addressing the challenges posed by their chaotic orbits.

Contribution

It presents a novel fuzzy classification approach for NEAs, enabling quantitative analysis of their chaotic dynamical properties.

Findings

Fuzzy characterization effectively captures NEA dynamical states.

The method provides valid long-term dynamical insights.

Enhanced understanding of NEA orbital chaos.

Abstract

Due to close encounters with the inner planets, Near-Earth-Asteroids (NEAs) can have very chaotic orbits. Because of this chaoticity, a statistical treatment of the dynamical properties of NEAs becomes difficult or even impossible. We propose a new way to classify NEAs by using methods from Fuzzy Logic. We demonstrate how a fuzzy characterization of NEAs can be obtained and how a subsequent analysis can deliver valid and quantitative results concerning the long-term dynamics of NEAs.