Tracking object's type changes with fuzzy based fusion rule
Abstract
In this paper the behavior of three combinational rules for temporal/sequential attribute data fusion for target type estimation are analyzed. The comparative analysis is based on: Dempster's fusion rule proposed in Dempster-Shafer Theory; Proportional Conflict Redistribution rule no. 5 (PCR5), proposed in Dezert-Smarandache Theory and one alternative class fusion rule, connecting the combination rules for information fusion with particular fuzzy operators, focusing on the t-norm based Conjunctive rule as an analog of the ordinary conjunctive rule and t-conorm based Disjunctive rule as an analog of the ordinary disjunctive rule. The way how different t-conorms and t-norms functions within TCN fusion rule influence over target type estimation performance is studied and estimated.
Cite
@article{arxiv.0910.1433,
title = {Tracking object's type changes with fuzzy based fusion rule},
author = {Albena Tchamova and Jean Dezert and Florentin Smarandache},
journal= {arXiv preprint arXiv:0910.1433},
year = {2009}
}