Tracking object's type changes with fuzzy based fusion rule

Albena Tchamova (1) , Jean Dezert (2) , Florentin Smarandache (3)

1 IPP BAS - Institute for Parallel Processing
2 ONERA - The French Aerospace Lab [Châtillon]
3 Department of Mathematics and Statistics [Albuquerque]

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.

Mots clés: DSmT; PCR5; Information Fusion; target Type Tracking; fuzzy rules

Domaines: Intelligence artificielle [cs.AI]

Albena Tchamova, Jean Dezert, Florentin Smarandache. Tracking object's type changes with fuzzy based fusion rule. First International Conference on Modelling and Development of Intelligent Systems, Oct 2009, Sibiu, Romania. pp.CDR. ⟨hal-00422632⟩