Evaluation on Innovation Ability of Enterprises Based on Entropy Weight-TOPSIS and Grey Correlation Fusion Model

Abstract

The empirical research is performed for eight enterprises in a biomedical industrial park by applying the entropy weight-TOPSIS and grey correlation fusion model through an Indicators system for estimating the capabilities of innovation of enterprises from three dimensions of technological innovation input, basis and output, in consideration of the status quo of the enterprise’s ability in technological innovation. Research results indicate that the model proposed is capable of objectively weighting the evaluation indices and can avoid the interference of subjective influencing factors in human judgment of index weight. The evaluation results can be used to effectively rank the technological innovation levels of enterprises and find out prioritized factors for the improvement of their technological innovation level.