Learning evaluation system based on knowledge and fuzzy neural networks
Rong Li · Guanli kexue xuebao · 2003
In this paper, a method of building an evaluation system with learning ability is presented. The evaluation system is realized based on the decisionmakers' knowledge and the fuzzy neural networks, and suitable for the problems in which most variables are linguistic variables. Samples used in the developed system are mined from decisionmakers', and the corresponding membership functions are obtained by concerning with the preferences of the decisionmakers'. The developed evaluation system is capable of using the previous decision experience and extracting the knowledge from real decision examples. By training the fuzzy neural networks, the same evaluating results as the decisionmakers' can be obtained.