Performance Evaluation of Logistics Based on Fuzzy Neural Network
According to the principles of selecting evaluation indicators, an evaluation indicator system of logistics performance is built at first. Next, a fuzzy neural network model is established according to its performance indicator system, which has a multi-input and single-output structure. Then, Matlab7.0 is used to analyze empirical sample data. At last, the training results show it is suitable for performance evaluation of logistics.
performance evaluation indicator system logistics enterprise fuzzy neural network.
Lin Wang Dongqin Zeng
School of Transportation, Wuhan University of Technology, Wuhan, China
国际会议
香港·广州
英文
212-214
2010-07-25（万方平台首次上网日期，不代表论文的发表时间）