基于改进AHP算法的信息融合系统评估研究  

Research on evaluation of marine battlefield information fusion system based on improved AHP algorithm

作　　者：刁东生[1] 杨琨[1] 

机构地区：[1]中国电子科技集团公司第二十七研究所,郑州450047

出　　处：《信息技术》2014年第6期150-153,157,共5页Information Technology

摘　　要：以层次分析法(AHP)递阶层次思想为主导,基于BP神经网络,构建海战场信息融合系统评估体系,建立基于AHP-BP的评估模型。该评估方法通过训练获得专家的知识和经验,模拟专家的知识和经验快速连续地做出响应。另外,该方法利用原始数据,自动构建系统评估的非线性函数关系,降低评估中的人为误差,提高了评估的精度和可信度。实例计算表明该方法有效,对类似系统的评估具有参考价值。According to the hierarchical thinking in analytic hierarchy process （AHP）, based on back- propagation neutral network, this paper established the AHP-BP evaluation model of marine battlefield information fusion system. The method acquired the information of the expert by training, and calculated the results fast and continuously. In addition, based on the original data, some non-linear function for evaluation is built automatically. So the human error is reduced by using of the method, and the result of evaluation is more creditable owing to it has higher example, and can be extended to the evaluation of precision. The method is effective to be proved by the other similar systems.

关 键 词：信息融合 性能评估 AHP算法 BP神经网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]