Method of Dynamic Fuzzy Symptom Vector in Intelligent Diagnosis

Aiming at the requirement of diagnostic symptom real-time updating brought from diagnostic knowledge accumulation and great gap in unit and value of diagnostic symptom in multi parameters intelligent diagnosis,the method of dynamic fuzzy symptom vector is proposed.The concept of dynamic fuzzy symptom vector is defined.Ontology is used to specify the vector elements,and the vector transmission method based on ontology is built.The changing law of symptom value is analyzed and fuzzy normalization method based on fuzzy membership functions is built.An instance proved method of dynamic fussy symptom vector is efficient to solve the problems of symptom updating and unify of symptom value and unit.