A Novel Synthetic Effectiveness Evaluation Method with Fuzzy Neural Network for the Electrical Systems

Abstract

Effectiveness evaluation method could give the quantitative description for an electrical system to help engineers choose the better products to use. Whereas, problems of poor objectivity, low generality, low accuracy, etc. always existing in evaluation methods of the electrical systems attract interests of many researchers. This paper puts forward a novel synthetic effectiveness evaluation method with fuzzy neural network. The fuzzy comprehensive evaluation method is utilized to obtain the weight vector of the evaluation factors. Meanwhile, in order to improve the accuracy of evaluation, the time series data of the factors is chosen instead of the transient data. Complying with the high subjectivity of many methods, the scoring method for single factor based on neural network (S-NN) is presented. The results of experiments demonstrate that the proposed method has better properties in efficiency than the competing methods.