Outpatient service market share prediction method and system, corresponding equipment and storage medium

The invention discloses an outpatient service market share prediction method and system, corresponding equipment and a storage medium, and the method comprises the steps: calculating a membership value of each variable value of each piece of data falling into a corresponding different semantic group based on a membership function constructed for each semantic group of each data variable; for each piece of data, determining satisfaction strength of a precondition of each rule, determining a second membership value of a result variable meeting a conclusion of each rule, and determining an integrated membership value of a semantic group of each result variable; determining a fitting parameter value of each result variable semantic group based on each result variable value and each integration membership value; and based on the integrated membership value and the fitting parameter value, determining a predicted value of the corresponding market share, and using the predicted value as a specialized operation decis