Tracking object's type changes with fuzzy based fusion rule

Details Tracking object's type changes with fuzzy based fusion rule Tracking object's type changes with fuzzy based fusion rule

2009-10-08

arxiv.org/abs/0910.1433v1

First International Conference on Modelling and Development of Intelligent Systems, Sibiu : Romania (2009)

Computer Science

Artificial Intelligence

Scientific paper

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.

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