Performance Evaluation of Fire Alarm System Based on FPNN
Wei Gou, Na Qu, Zhenliang Lan · 2016
The type of fire alarm system and grades of standards exist fuzziness.fuzzy mathematics relative membership grade theory and probabilistic neural networks are combined to build a fuzzy probabilistic neural network (FPNN) evaluation model of fire alarm system.The method of constructing model is proposed based on indicators relative membership degree matrix interpolation.By comparing with other methods, the model is verified to be effective and the result is objective and reliable.