Application of Fuzzy Neural Network for Evaluating Sustainable Development with Energy Indicators System

Energy indicators system may be a new strategy for evaluating sustainable development and the fuzzy neural network system may be an appropriate methodology to deal with the absence of information in evaluation of sustainable development. This study tries to combine fuzzy neural network with energy indicators system to evaluate the performance of sustainable development of several countries. The results show that the fuzzy neural network has such properties as fast convergence, high precision and strong function approximation ability. Moreover, the fuzzy neural network is good at evaluating sustainable development because of its non-strict requirement for input variables and not needing plenty of sample data.