| Abstract: | As knowledge-intensive enterprises, high-tech companies play an important role in China''s innovation-driven development. Analyzing and evaluating the competitiveness of high-tech enterprises''innovation networks is of great significance for promoting the transformation and upgrading of China''s industrial development mode. Comprehensively considering the influence of innovation network nodes on central enterprises, the paper proposes a positive and negative evaluation method for innovation networks based on entropy weight-cloud model, which effectively addresses the uncertainties and stochasticity in the previous evaluation methods. By using Matlab programming, the cloud model is employed to calculate the membership degree of each evaluation index, classify the positive and negative innovation network of the enterprise, and evaluate the comprehensive innovation network. Finally, taking the LIDAR enterprise as an example, the effectiveness and feasibility of the proposed method are verified, which provides a useful reference for enterprises to improve their innovation ability. |
