基于熵权-TOPSIS的人工智能行业上市公司投资价值动态评价研究  

Entropy-TOPSIS Based Investment Value Dynamic Evaluation Approach for Listed Artificial Intelligence Companies

作　　者：禹春霞 满茹 邹志琴 Yu Chunxia;Man Ru;Zou Zhiqin(School of Economics and Management,China University of Petroleum,Beijing 102249,China)

机构地区：[1]中国石油大学(北京)经济管理学院,北京102249

出　　处：《工业技术经济》2020年第12期138-146,共9页Journal of Industrial Technological Economics

基　　金：国家自然科学基金青年项目“考虑产品协同效应的多产品组合采购问题研究”(项目编号:71501187);国家自然科学基金青年项目“城镇化背景下的我国人力资本外部性研究”(项目编号:71403292)。

摘　　要：随着人工智能技术的发展,人工智能行业在A股市场受到广泛关注。然而,当前关于投资价值评价的方法没有考虑评价指标不同阶段的动态变化,而且专门面向人工智能行业上市公司的评价方法也很少,因此,本文旨在提出针对人工智能行业上市公司的投资价值动态评价方法。本文提炼出人工智能行业上市公司的评价指标体系,采用熵权法确定指标权重;使用TOPSIS方法衡量指标之间的差异性和变化趋势,同时利用时间加权法得到动态评价值并排序;最后,选取我国A股2013~2018年人工智能概念股进行实证研究,研究结果表明,本文提出的投资价值的动态评价方法能更好地筛选出表现优异的人工智能公司,进而帮助投资者进行决策。With the development of artificial intelligence technology,the artificial intelligence industry has been widely con⁃cerned in the A-share market.However,existing evaluation methods for investment value have not considered the dynamic trends at different time.Furthermore,there are few evaluation methods specially proposed for listed companies in the artificial intelligence industry.Therefore,this study is to propose a dynamic evaluation approach for the investment value of listed companies in the artifi⁃cial intelligence industry.Firstly,the evaluation indicators for the artificial intelligence industry are formulated,the entropy measu⁃re method is used to determine the relative weights of indicators.Secondly,the TOPSIS method is used to measure the difference and change trend of indicators.Moreover,the time weighting method is used to obtain the dynamic evaluation results.Finally,China's A-share artificial intelligence concept stocks from 2013 to 2018 are used to verify the performance of the proposed approach.The experimental results show that the proposed dynamic evaluation approach for investment value is able to screen out well-per⁃forming artificial intelligence companies and can help investors make better decisions.

关 键 词：人工智能 投资价值 动态评价 TOPSIS方法 熵权法 投资决策 

分 类 号：F49[经济管理—产业经济] F272.5