In multiple attribute group decision making （MAGDM） problems based on linguistic information, the granularities of linguistic label sets are usually different due to the differences of thinking modes and habits amon...In multiple attribute group decision making （MAGDM） problems based on linguistic information, the granularities of linguistic label sets are usually different due to the differences of thinking modes and habits among decision makers. In order to deal with this inconvenience, the transformation relationships among multigranular linguistic labels （TRMLLs）, which are applied to unify linguistic labels with different granularities into a certain linguistic label set with fixed granularity, are presented in this paper. Furthermore, the reference tables are made according to TRMLLs so that the interrelated calculation will be less complicated, and the method of how to use them is explained in detail. At length, the TRMLLs are illustrated through an application example.展开更多
The cyber physical system is widely applied to industrial Internet of Things system and its security determines the safety of the industrial loT system.This paper proposes a multilevel fine fingerprint authentication ...The cyber physical system is widely applied to industrial Internet of Things system and its security determines the safety of the industrial loT system.This paper proposes a multilevel fine fingerprint authentication method for the security protection of key operating equipment.Firstly,Because of the acquired signals,the mathematical representation models are established separately,including the self-encoding model on the basis of the multiorder moment features and the multi-scale representation model based on the wavelet.Secondly,the multigranularity features of the time domain and frequency domain are extracted respectively based on the real-time data's self-encoding representation and multiscale representation.Then,the extracted features of different granularities can be built into the image representation based on the time-frequency fusion portrait.Based on the images of different granularities and the legitimate image library,a multiscale matching authentication method is established.Finally,simulation experiments show that the proposed method is effective.展开更多
基金supported by the National Science Fund for Distinguished Young Scholars of China (No.70625005)
文摘In multiple attribute group decision making （MAGDM） problems based on linguistic information, the granularities of linguistic label sets are usually different due to the differences of thinking modes and habits among decision makers. In order to deal with this inconvenience, the transformation relationships among multigranular linguistic labels （TRMLLs）, which are applied to unify linguistic labels with different granularities into a certain linguistic label set with fixed granularity, are presented in this paper. Furthermore, the reference tables are made according to TRMLLs so that the interrelated calculation will be less complicated, and the method of how to use them is explained in detail. At length, the TRMLLs are illustrated through an application example.
基金supported by the Natural Science Foundation of Huzhou(2023YZ47),the National Natural Science Foundation of China(62120106011,61933013,61733015 and U1934221)This work was supported by Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems(grant 2022-17)Opening Project of Guangdong Provincial Key Lab of Robotics and Intelligent System.
文摘The cyber physical system is widely applied to industrial Internet of Things system and its security determines the safety of the industrial loT system.This paper proposes a multilevel fine fingerprint authentication method for the security protection of key operating equipment.Firstly,Because of the acquired signals,the mathematical representation models are established separately,including the self-encoding model on the basis of the multiorder moment features and the multi-scale representation model based on the wavelet.Secondly,the multigranularity features of the time domain and frequency domain are extracted respectively based on the real-time data's self-encoding representation and multiscale representation.Then,the extracted features of different granularities can be built into the image representation based on the time-frequency fusion portrait.Based on the images of different granularities and the legitimate image library,a multiscale matching authentication method is established.Finally,simulation experiments show that the proposed method is effective.
