Fuzzy RBF assessment on productive efficiency of environmental impacted enterprise

The enterprise development pattern at the cost of environment has been questioned constantly. In people´s opinion, the enterprise should be responsible for social and environmental responsibility, and should bring environmental impacted target into the assessment of productive efficiency. In connection with the issue of assessment on environment impacting production efficiency, this paper divides assessment target into three levels such as input, output and emission, utilizing fuzzy theory and RBF network technology to establish the model for the assessment on the environment impacting production efficiency, and using empirical examples to make network training and assessment. Through comparing BP neural network model and DEA assessment model, it is found that the assessment method combining fuzzy theory with RBF network has obvious advantage and feasibility of fast constringency and undivergent primary simulated value.