In the antiaircraft missile weapon system based on network operation, the netting intelligence process is the basis for sharing information and cooperative operation, and the performance evaluation is beneficial to ameliorating shortage of the existing system and to developing a better new system. The performance evaluation is a complex problem which involves many factors including that some information about specification is incomplete and vague. By thoroughly analyzing the factors those have influence on the performance of antiaircraft netting intelligence in processing, a comprehensive index system is built up. A first-run comparison method based on key indexes is put forward when many systems are evaluated. The evaluating model and algorithm based on multi-hierarchical gray relation analysis（GRA） are given, and the index weight is calculated by entropy weight method. Using this method can availably reduce the influence of humankind. Finally, a practical example is given. The research result has been applied to the evaluation practice, which demonstrates the validity and practicability of the method.