Title :
Fuzzy Comprehensive Evaluation of army knowledge management performance based on neural network identification
Author :
Yuanlin, Xu ; Peng, Gao ; Zengliang, Liu ; Peng, Xu
Author_Institution :
Sch. of Manage. of Grad. Sch., Chinese Acad. of Sci., Beijing, China
Abstract :
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.
Keywords :
backpropagation; command and control systems; fuzzy set theory; knowledge management; radial basis function networks; army knowledge management; backpropagation neural network; fuzzy comprehensive evaluation; radial basis function neural network; Adaptation models; Artificial neural networks; Indexes; Knowledge engineering; Knowledge management; Mathematical model; Military computing; army knowledge management; back propagation neural network; fuzzy comprehensive evaluation; radial basis function neural network;
Conference_Titel :
Information and Automation (ICIA), 2011 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4577-0268-6
Electronic_ISBN :
978-1-4577-0269-3
DOI :
10.1109/ICINFA.2011.5949016
