Decision Support System Of Armored Equipment Demonstration

Army armored vehicles are the core of heavy weaponry and it reflects one country's level of the army modernization. As we know, development of armored vehicles from concept to stereotypes is a very difficult project, the demonstration vehicles and development of all kinds of armored vehicles is an important stage in the current armored equipment demonstration work.In the process of demonstration work, the functions of the computer-aided are reflected in performance analysis and projects evaluation. The innovation in this paper lies in: Using rough set theory to reduce index system without lost important information of original index system;Using genetic algorithm to adjust the consistent of AHP's judgment-matrix effectively without lost too much information of experts'judgment, use of AHP to analyze demonstration projects and give them scores;Proposing GA-BP algorithm to improve the way of modifying network weights and enhance its training precision. Finally, use of GA-BP to analyze demonstration projects with the help of the projects already exists.Genetic algorithm combining with projection pursuit model projects high-dimensional data to low-dimensional data with certain combination and then analyzes high-dimensional data structure according to their projection values, at last, using GA-PPM to analyze demonstration projects and visualize results.