On The Quality Estimation Of Optimal Multiple Criteria Data Association Solutions
Jean Dezert, K. Benameur, Laurent Ratton, Jean-François Grandin · Zenodo (CERN European Organization for Nuclear Research) · 2015
In this paper, we present a method to estimate the quality (trustfulness) of the solutions of the classical optimal data association (DA) problem associated with a given source of information (also called a criterion). We also present a method to solve the multi-criteria DA problem and to estimate the quality of its solution.