Application of fuzzy complex set valued integral classifier in hospital infection control monitoring system

With the main application background of using and establishing a scientific and objective hospital infection management quality monitoring system in line with the actual specifications of the hospital, We try to explore the research of data model adaptive adjustment and dynamic update classification algorithms in the context of big data, and complete the theoretical research of fuzzy complex value information simulated human learning classifier fusion algorithm based on fuzzy complex set value integration, to solve the scientific problem of data flow classification. The theoretical research is applied to the practical application of the quality monitoring system for hospital infection management.