A Network Key Node Identification Method Based on Improved Multiattribute Fusion

Considering the shortcomings of existing network key node identification methods based on multiattribute fusion, which have single evaluation and low decision accuracy, combined with advantages high accuracy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) algorithm applicability grey relational analysis method incomplete information evaluation, concept relative closeness is proposed, nodes are ranked in importance closeness; a improved fusion designed. First, problem transformed into decision-making method, matrix obtained. Second, weighting obtained them both subjective objective dimensions, calculated matrix. Finally, sort closeness, performance simulation experiments designed using various combinations methods. The results show that this more adaptable improves nodes.