中文摘要：

提出了农业机械导航系统多指标评价模型,将导航成本、精度、适应能力、稳定性和计算复杂性作为评价指标,采用层次分析法和信息熵相结合的方法确定各指标权值,具有兼顾主观和客观赋权的优点。建立了神经网络并训练模型形成评价系统。通过数据分析表明,该综合评价方法克服了人为因素的影响,评价系统使用简单方便。

英文摘要：

The multi-index evaluation model of agriculture machine navigation system was proposed,and the cost,accuracy,adaptability,stability and computing complexity were used as five indexes which mainly affect the navigation system performance.The weight of each index was decided by combining AHP and entropy method,which has the advantages of subjective and objective.The RBF neural network was used to build the evaluation model.Data analyses showed that the method was easy to use,and overcomed the influence of subjective factors.