earticle

영어

Enhancing the development competitiveness holds significance to the sustainable development of tourism cities. It is complex system engineering as the development competitiveness of tourism cities is influenced by many factors. Therefore, this paper studies the development competitiveness from ten dimensions, namely ecological factor, environmental factor, cultural factor, educational factor, scientific factor, civilizational factor, brand factor, economic factor, market factor and development potential factor. A multi-attribute evaluation model of the development competitiveness of tourism cities is established based on grey clustering analysis. Through the study of influence factors, grey clustering analysis function is established to obtain the grey clustering coefficient. Given that influence factors are distinct in terms of importance, the weighted grey clustering analysis model is established for the evaluation of development competitiveness of tourism cities. Finally, a case is studied to verify the model.