Abstract
In order to solve the problems existing in the traditional assessment methods of Air - Defense and Anti-Missile command models, based on the requirements of the command model assessment, an intelligent Air-Defense and Anti-Missile command model intelligence assessment method based on genetic algorithm optimization was proposed. On the one hand, in order to meet the needs of the intelligent assessment, the evaluation knowledge bases is established based on the Air-Defense and Anti-Missile operational command process; on the other hand, basing on the historical data the objectivity of the assessment is improved by adjusting the index weights dynamically with the entropy weighting method and the intelligent optimization method. At the same time, the fuzzy relation matrix is obtained by real-time data processing of the command model and then using the multiple fuzzy comprehensive evaluation method to get the result. Finally, the feasibility of the method is verified by examples.
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