This PhD thesis studies the iterative diagnosis problems and provides thecomputer-aided diagnostic tool for interactive diagnosis. Different diagnosis processes wherethe tool to support human-machine interaction are useful, are presented. These tools help totackle difficulties related to the representation of a large number of elements in a system,difficulties related to the representation of the behavior functioning of a system and difficultiesencountered while expliciting the expertise. Our work led to the design of different interactivetools to support the diagnosis process. The first tool allows to exploit the structural-functionalmodeling to build and solve progressively a diagnosis problem. The second interactive toolallows to exploit the behavioral models built step by step in the diagnosis process and tosolve the diagnosis problem. The final tool was proposed to show that it is possible to takeinto account the implicit knowledge of an expert in order to solve the diagnosis problem.A diagnosis problem is therefore presented as an iterative process with human-machineinteractions.
