Fuzzy Comprehensive Evaluation of Hospital Knowledge Management Performance Based on Neural Network

Author

Wang Hongying ; Song Qian

Author_Institution

Xiaogan Central Hosp., Xiaogan, China

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

backpropagation; health care; hospitals; knowledge management; neural nets; organisational aspects; performance evaluation; backpropagation algorithm; fuzzy comprehensive evaluation; fuzzy evaluation; hospital knowledge management performance evaluation system; human capital; knowledge system; neural network; organizational structure capital; technology capital; Artificial neural networks; Biological neural networks; Hospitals; Humans; Indexes; Knowledge management; Performance evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6579-8

Type

conf

DOI

10.1109/ICMSS.2011.5999361

Filename

5999361