基于灰色关联分析的组网情报处理性能评价

Evaluation for the Netting Intelligence Process Performance Based on Gray Relation Analysis

在防空导弹网络化作战系统中,组网情报信息处理是实现信息共享、协同作战的基础,对其性能进行评价有利于改进现有系统中不足之处或便于开发出高质量的系统。组网情报处理性能评价是一个十分复杂的问题,涉及因素多,且存在部分因素不完全和不确定的问题。通过对影响其性能各因素的全面分析,建立了综合评价的指标体系,提出了基于关键指标的多评价对象首轮比较方法,给出了基于多层次灰色关联分析的评价模型及算法,并运用熵权法确定各指标权重,该方法能够有效地降低人为因素的影响,最后进行了算例分析。该研究成果已在实践中得到了应用,验证了其正确性和有效性,并具有较强的实用性。

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.