An Information Entropy-Based Modeling Method for the Measurement System.

摘要: Measurement is a key method to obtain information from the real world and widely used in human life. A unified model of measurement systems critical design optimization systems. However, existing models are too abstract. To certain extent, this makes it difficult have clear overall understanding how implement acquisition. Meanwhile, also leads limitations application these models. Information entropy measure or uncertainty random variable has strong representation ability. In paper, an entropy-based modeling for system proposed. First, idea based on viewpoint described. Second, balance equation chain rule proposed modeling. Then, establish system. Finally, three cases typical units processes analyzed using method. Compared with approaches, considers problem perspective uncertainty. It focuses loss measurand transmission process characterization specific role unit. The can intuitively describe processing changes does not conflict system, but complement systems, thus further enriching theory.