Abstract. Design performance assessment of fire alarm system is to test the design scheme of large complex fire alarm system and determine the degree of satisfaction of the system design objective. The second-grade indexes of design performance assessment of fire alarm system are extracted by principal components analysis. The paper uses SPSS16.0 and Microsoft Excel to complete the data statistics and analysis process.
Abstract. 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.
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