Fuzzy Comprehensive Evaluation of Army Knowledge Management Performance Based on Neural Network Identification

摘要：

According to the characteristics of army knowledge management,construct the army knowledge management performance evaluation system.9 indexes are adopted to evaluate the primary commander diathesis. These indexes include idea and morality level,physical health,professional knowledge of military,basic knowledge of military,organizing and commanding ability,judgment and decision ability,commanding military force ability,high-tech knowledge,and computer executing level.Ascertain the weight of Fuzzy Comprehensive Evaluation by using the neural network(NN).The neural network comprises a back propagation NN(BPNN),a radial basis function NN (RBFNN).It revises the neural network weight step by step by using the NN,it make the weight in fuzzy evaluation accord with the fact well.This can get better effect.

作者: Xu Yuanlin Gao Peng Liu Zengliang Xu Peng

作者单位: School of Management of Graduate School The Chinese Academy of Sciences Beijing,China Institute of Information Operation National Defense University Beijing,China

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 354-358

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）