A Multi-Level and Multi-Domain Resource Sharing Evaluation System for Power Communication Based on Progressive Affiliation of Multi-Dimensional Correlation Indicators

The main feature of power communication network is multilevel and multi-indicators, this paper analyses the sharing capacity of power communication network in multidimensional, firstly, the sharing capacity indicators of power communication network are graded and sorted out to form a multidimensional correlation indicator evaluation system, and then the distance between the suggested values is used to calculate the corresponding decision-making weights, and the improved fuzzy comprehensive evaluation method uses fuzzy mathematics to convert the qualitative evaluation of the research object into a quantitative evaluation according to the principle of the maximum degree of affiliation. Using the improved fuzzy comprehensive evaluation method, the qualitative evaluation of the research object is converted into quantitative evaluation through the principle of maximum affiliation in fuzzy mathematics, and on this basis, the weights of the first-level indicators based on the variance are calculated and fused together to obtain the sharing capacity affiliation and thus the sharing capacity assessment of each node. The analyses show that this method can effectively evaluate the sharing capacity of electric power communication network.