scholarly journals Evaluation method of trust degree of distribution IoT terminal equipment based on information entropy

2021 ◽  
Vol 1754 (1) ◽  
pp. 012108
Author(s):  
Kong Lingda ◽  
Zhai Feng ◽  
Zhao Yingjie ◽  
Qin Nan ◽  
Li Dashuai ◽  
...  
2012 ◽  
Vol 446-449 ◽  
pp. 3058-3061 ◽  
Author(s):  
Chun Tan ◽  
Jian Ping Chen ◽  
Yu Zhen Pan ◽  
Cen Cen Niu ◽  
Li Ming Xu

Based on the principle of fuzzy matter-element analysis, the concept of information entropy is introduced to establish a fuzzy matter-element evaluation method. This method is utilized to comprehensively evaluate the degree of debris flow. The classifications of debris flow are regarded as the objects of matter-element and their indexes for evaluation as well as the corresponding fuzzy values are used to construct the composite fuzzy matter-elements. By calculating the relevancy the comprehensive evaluation of debris flow can be carried out. This model is applied to analyze the degree of debris flow in the practical application. The application shows that the model is effective and practical.


2013 ◽  
Vol 291-294 ◽  
pp. 2789-2793
Author(s):  
Jun Fang Xue ◽  
Ying Li Zhang ◽  
Xin Jian Zhang

In order to assess product’s disassembly sequences simply and effectively, we present the objective adaptive entropy way, which judge information according to the difference of the evaluation indexes, and get the importance of each evaluation index in the comprehensive assessment of the project (i.e. weight of indexes). So we in turn get the comprehensive evaluation method which is based on the product disassembly sequences of information entropy .This method offers the optimal result and provides the objective weight of each index. So that the designers can improve the relative devises and plan the resource of disassembly. Thereby we can get the best disassembly sequences. At last, taking the example of the 9 kinds of optimal disassembly sequence of a certain type air-condition’s outdoor, we can verify the availability of this method.


2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.


2019 ◽  
Vol 277 ◽  
pp. 02010
Author(s):  
Niping Jia ◽  
Zhiwei Yang ◽  
Kewei Yang

In this paper, we propose an operational effectiveness evaluation method of the swarming UAVs air combat system. The system network model is firstly established before the evaluation. We divide the edges in the network into nine types according to the Generalized Operation Loop and give the edge attribute of operational information entropy based on node attributes. When calculating the system operational effectiveness, we focus on the striking ability and propose the concept of Operation Loop Capability to represent the target-attack effectiveness of a certain operational loop, which can be calculated from the edge operational information entropies. We can get the combat effectiveness to a certain target from the Operation Loop Capability, and the combat effectiveness of the swarming UAVs air combat system is represented by the sum of the striking capabilities to all targets. Finally, the scene of swarming UAVs air combat is taken as a case study to apply and verify our evaluation method. This paper gives a quantitative perspective on swarming UAVs combat system assessment and can help to analyze the contribution of UAVs and other weapons in the system.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiao-ping Bai ◽  
Xi-wei Zhang

Selecting construction schemes of the building engineering project is a complex multiobjective optimization decision process, in which many indexes need to be selected to find the optimum scheme. Aiming at this problem, this paper selects cost, progress, quality, and safety as the four first-order evaluation indexes, uses the quantitative method for the cost index, uses integrated qualitative and quantitative methodologies for progress, quality, and safety indexes, and integrates engineering economics, reliability theories, and information entropy theory to present a new evaluation method for building construction project. Combined with a practical case, this paper also presents detailed computing processes and steps, including selecting all order indexes, establishing the index matrix, computing score values of all order indexes, computing the synthesis score, sorting all selected schemes, and making analysis and decision. Presented method can offer valuable references for risk computing of building construction projects.


2014 ◽  
Vol 571-572 ◽  
pp. 44-48
Author(s):  
Guo Jing Li ◽  
Bao Ling Zhang ◽  
Xiao Yu Wang

The concept of information entropy is applied to evaluation for anti-interference performance of velocity and distance measurement in DS/FH hybrid spread spectrum TT&C (Tracking, Telemetry & Command) system, establishing an evaluation model where the entropy loss degree is used as an index under the rule of information, and analyzing the impact on the index from the changing of interference parameters. The feasibility of using entropy loss degree as an evaluation index was verified by simulation.


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