With the appearance of intelligent information warfare， millitary intelligent decision-making has become a key link that can affect the outcome of war. On the basis of analyzing the new characteristics of intelligent decision support system in cloud computing environment， the comparative study of the traditional intelligent decision support system and the artificial neural network system is conducted in this paper respectively. An intelligent decision support system based on the parallel structure of expert system and artificial neural network in cloud computing environment is designed.The operation flow and reasoning process of the intelligent decision support system under the structure are analyzed， which provides a new idea and method for the research of military intelligent decision support system.

For the current army equipment support capability demand analysis method cannot meet the needs of intelligent development with the problems of strong subjectivity and low reliability， the quality function deployment method based on grey correlation analysis is adopted. On the basis of "capacity" analysis， a demand quality house model based on grey relational analysis is established， and the importance order of the demand indicators of intelligent equipment support capability is obtained， which provides a theoretical basis for the construction and application of intelligent equipment support capabilities.