An adaptive weight adjustment algorithm based on optimization of weight distance similarity

In other to enhance the assessment ability to modernized weapons, an adaptive weight adjustment algorithm based optimization of weighted-distance similarity is proposed. Adopting Analytic Hierarchy Process and entropy weight method to evaluate the subjective and objective weights of indices, building the model of comprehensive weight computing based optimization of weight distance similarity, designing the adaptive adjustment method with comprehensive weight, the accuracy and maneuverability are proved by giving example analysis and the result shows that the algorithm can be used as a reference in the weapon evaluation system construction.