Growth Dynamics Computing of Carbon Fiber Industry Based on G-MEC Model Under the Background of Informationization

Abstract

The dynamic factors affecting the carbon fiber industry are computed on the basis of the maximum entropy configuration model of objective index weight based on grey class sensitivity coefficient (G-MEC model for short), which determines the importance of each dynamic factor to the development of carbon fiber industry. Firstly, classes of evaluation objects are preset, based on which grey class sensitivity coefficient is defined to reveal various influences of evaluation index on the classification of the evaluation objects, which is used to characterize and measure the relative importance of evaluation index on evaluation objects and the whole system. In view of military strategic background, carbon fiber industry has the characteristic of poor data information. In this case, a G-MEC model is constructed and solved to give objective weight to the evaluation index influencing the classification results. Finally, this paper, taking the carbon fiber industry of Jiangsu province, China, as an example, ranks the driving factors of carbon fiber industry. Based on the results and analyses, a series of constructive suggestions are put forward to promote the sustainable development of carbon fiber industry.