Fuzzy Comprehensive Evaluation of Hospital Knowledge Management Performance Based on Neural Network
According to the characteristics of hospital knowledge management, construct the hospital knowledge management performance evaluation system. The index system includes four first level indexes (organizational structure capital, human capital, technology capital, and knowledge systems) and 12 secondary level indexes. Ascertain the weight of Fuzzy Comprehensive Evaluation by using the neural network. At the same time, the network is trained by using the improved back propagation algorithm and revise the neural network weight step by step , it make the weight in fuzzy evaluation accord with the fact well. which can get better effect.
Wang Hongying Song Qian
Xiaogan Central Hospital Hubei xiaogan China
国际会议
International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)
武汉
英文
1-5
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）