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作 者:桂永杰 吴世宝 马瀚龙 马佳 GUI Yongjie;WU Shibao;MA Hanlong;MA Jia(School of Computer Science,Shenyang Aerospace University,Shenyang 110136;School of Aeronautics and Astronautics,Shenyang Aerospace University,Shenyang 110136;School of Innovation,Shenyang Aerospace University,Shenyang 110136;School of Science,Shenyang Aerospace University,Shenyang 110136)
机构地区:[1]沈阳航空航天大学计算机学院,沈阳110136 [2]沈阳航空航天大学航空宇航学院,沈阳110136 [3]沈阳航空航天大学创新创业学院,沈阳110136 [4]沈阳航空航天大学理学院,沈阳110136
出 处:《计算机与数字工程》2022年第3期565-568,666,共5页Computer & Digital Engineering
基 金:国家自然科学青年基金项目(编号:11404223)资助。
摘 要:近年来,随着社会经济的发展与改革开放的深入,国内的主要城市的经济也在不断的提高。同时不同城市间的经济地位与发展程度也有了改变,而城市的经济水平与活力,也影响着大型企业的投资与国家政策的倾斜。于是建立一个新的对国内主要城市的发展程度进行评价的模型就显得尤为重要。由已有的研究可知,一个地区的公司数量是评估该地区经济活力的重要标准。以北京为例,收集了相关的数据以及当地的历史公司数量利用灰色关联法计算不同数据对公司数量的关联度,之后利用模糊综合评价法,将国内主要城市的经济活力分为4个等级,用于对城市发展程度进行排名。In recent years,with the advancement of social economy and the deepening of the reform and opening-up,the economy of major domestic cities has also increased continuously.Simultaneously,the economic status and development level of different cities has also changed,and the economic level and vitality of cities also affect the investment of large enterprises and the tilt of national policies.Therefore,it is particularly important to establish a new model for evaluating the development level of major cities in China.According to the existing research,the number of companies in a region is an important criteria for assessing the economic vitality of the region.Taking Beijing as an example,the relevant data and the number of historical companies in the local area are collected.The grey correlation method is used to calculate the correlation between different data and the number of companies.Then,the fuzzy comprehensive evaluation method is used to classify the economic vitality of major domestic cities into 4 levels,which are used to rank the degree of the development of the cities.
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