Title :
Assessing sensor reliability for multisensor data fusion within the transferable belief model
Author :
Elouedi, Zied ; Mellouli, Khaled ; Smets, Philippe
Author_Institution :
Inst. Superieur de Gestion de Tunis, Tunisia
Abstract :
This paper presents a method for assessing the reliability of a sensor in a classification problem based on the transferable belief model. First, we develop a method for the evaluation of the reliability of a sensor when considered alone. The method is based on finding the discounting factor minimizing the distance between the pignistic probabilities computed from the discounted beliefs and the actual values of data. Next, we develop a method for assessing the reliability of several sensors that are supposed to work jointly and their readings are aggregated. The discounting factors are computed on the basis of minimizing the distance between the pignistic probabilities computed from the combined discounted belief functions and the actual values of data.
Keywords :
belief networks; pattern classification; probability; reliability theory; sensor fusion; classification problem; minimisation; multisensor data fusion; pignistic probabilities; sensor reliability; transferable belief model; Fuzzy set theory; Intelligent sensors; Pattern recognition; Possibility theory; Sensor fusion; Terminology; Uncertainty; Weight measurement;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.817056