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This paper proposes a cartography investigation on diagnostics and prognostics techniques accomplished in order to setup the health management for complex vehicle systems in accordance with IVHM (Integrated Vehicle Health Management) principles. Relevant reviews and surveys of the existing approaches are generally realized as statements of the achievements in these fields; however they rarely tackle both diagnostics and prognostics. As classic criteria do not respond to current needs in IVHM, this paper has isolated several main features in order to formally prove the accordance and the effective choice between the system-of-interest, its maintenance system and diagnostics and prognostics algorithms. Thus, the proposed criteria are oriented on the target and on the maintenance systems. The investigated classification established through a multi-criteria selection reveals new orientations which should be considered in IVHM and it also enables further research on future pertinent methods for building a smart multi-model vehicle health assessment reasoner.