1. A method for the fusion of information originating from several sensors (C 1 , C 2 ) each producing a belief function (m C1 , m C2 ) representing knowledge on a reasoning space (Ω), and comprising several states (E 1 ,. .. , EN) each representing an operating state of the set of sensors, said method comprising: calculating a merged belief function (m F ); and calculating conditional belief functions on the basis of the belief functions (m C1 , m C2 ) produced by the sensors (C 1 , C 2 ) and of a predefined base of operators ( 105 ) comprising associations between states of sensors and merge operators, wherein a conditional belief function represents knowledge of a sensor on the reasoning space (Ω) when the set of sensors is in a given operating state (E 1 ,. .. , EN), and wherein a step of calculating the merged belief function (m F ) uses the conditional belief functions calculated and knowledge (m E ) arising from a knowledge base ( 104 ) regarding the operating state of the sensors.