In this paper a method for the approximative reasoning is suggested and the structure of the knowledge base of a Medical Diagnosis Expert System is introduced in detail. The knowledge base is composed mainly of the matrices of fuzzy relationships and reasoning rule sets. The approximative reasoning is realized through the fuzzing of reasoning rules. Thus the problems of inaccuracy in the medical diagnosis is well solved.