2. Theories used

Fusion is the process of combining data and information to estimate or predict states. The main purpose of combining data is to reduce uncertainty in the information. Uncertainties can be modeled by various theories:

Bayes probabilities ;
Dempster's lower and upper probabilities ;
Dubois and Prade's possibilities-necessities...

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Theories used

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page Introduction to data fusion

Combination rules

References

(1) - HALL (D.), LLINAS (J.) - Handbook of Multisensor Data Fusion - . CRC Press (2001).
(2) - HALL (D.) - Mathematical Techniques in Multisensor Data Fusion - . Artech House, (1992).
(3)...