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Many systems based on knowledge, especially expert systems for medical decision support have
been developed. Only systems are based on production rules, and cannot learn and evolve only
by updating them. In addition, taking into account several criteria induces an exorbitant number
of rules to be injected into the system. It becomes difficult to translate medical knowledge or a
support decision as a simple rule. Moreover, reasoning based on generic cases became classic
and can even reduce the range of possible solutions. To remedy that, we propose an approach
based on using a multi-criteria decision guided by a case-based reasoning (CBR) approach.