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Successful Battlefield Repair(BR) will enhance combat capability, however, a timely and effectual sequencing decision-making of Battlefield Damaged Equipment is necessary for a successful BR. The factors which affect the BR are analyzed, then the weight of attributes are defined through information entropy, besides a sequencing decision-making model of BR is proposed with the method of TOPSIS. At...
In the future information warfare, the new military revolution whose core is information technology will makes the main body of war multiform, the area of the battlefield multidimensional, the battle element more integrated, the battle action associated, the form and model of equipment support much different. The ammunition support is crucial to form the combat power of the army as an important part...
It is important to predict battle damage level timely and accurately for operation commander to adjust firing action intent, issue command, control situations, and make decisions correctly. Adaptive neural fuzzy inference system (ANFIS) architecture and the hybrid-learning algorithm by applying back-propagation and least mean squares procedure are studied. ANFIS model for battle damage level prediction...
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