Modeling and implementation of the management decision support system for the electricity supplier

According to. the random events management and control based on time. This paper proposes the use of system resources to achieve the goal of optimizing the dynamic hybrid control model. It includes a data - intensive models, resource allocation model, real - time Markov model Network nodes adjacent to the sequence model four model rules. Under the proposed model and is compatible with the dynamic fuzzy hybrid neural network algorithms and dynamic data fusion algorithm. Implementation of system resources and maximize the use of dynamic data in multi - level refining process, Expected completion of the information and feedback control of the scene than the right, with adjustments, Implementation of the management parameters of the scene and control.