APPLICATION RELIABILITY GROUP EVALUATION WITH PARAMETERS OF BIG DATA IN ENERGY INTERNET IN CHINA
Journal: Advanced Management Science (AMS)
Author: Jia Ding*, Cunbin Li
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
The application of Big Data in Energy Internet can provide valuable information. However, due to the immaturity, it is important to sufficiently recognize the reliability of Big Data. Based on the application situation, this paper builds a reliability evaluation index system. Group evaluation method is used to eliminate the individual subjective influence, which combines the consensus based on Grey Relational Analysis and the conflict based on Euclidean distance to get the aggregated opinion. Then the opinion is evaluated by matter-element extension model with improved distance. Finally, the empirical study proves the dependability of this model. And the results indicated that the reliability of Big Data is between medium and slightly higher.