Research on quality evaluation based on improved AHP algorithm for certain weaponc
Hongjun Song · Electronic Design Engineering · 2011
The quality evaluation of weapon system is a very important tache in process of developing and maintaining.In the case of limited time-test number,the accuracy rate of quality evaluation has been the bottleneck in making battle effectiveness.According to the hierarchical thinking in analytic hierarchy process(AHP),based on back-propagation neutral network,and combining index evaluation method,we present an improved algorithm: neural network algorithm based on analytic hierarchy process,and gives the methods and procedures in establishing model.Model is an effective solution to the accuracy rate in the quality evaluation of weapon.Example shows the method is effective,and can be extended to other similar weapon systems quality evaluation.