计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 1-5.doi: 10.11896/JsJkx.190700078

• 人工智能 • 上一篇    下一篇

基于熵值模糊层次分析法的科技战略评价

刘子琦1, 2, 3, 4, 郭炳晖1, 2, 3, 4, 程臻5, 杨小博1, 2, 3, 4, 殷子樵1, 2, 3, 4   

  1. 1 北京航空航天大学数学科学学院 北京 100191;
    2 鹏城实验室 广东 深圳 518055;
    3 大数据科学与脑机智能高精尖中心 北京100191;
    4 教育部数学信息与行为重点实验室 北京 100191;
    5 中国航天系统科学与工程研究院 北京 100046
  • 发布日期:2020-07-07
  • 通讯作者: 郭炳晖(guobinghui@buaa.edu.cn)
  • 作者简介:14091049@buaa.edu.cn
  • 基金资助:
    科技创新2030-“新一代人工智能”重大项目(2018AAA0102301);国家自然科学基金项目(11671025);民机项目(MJ-F-2012-04)

Science and Technology Strategy Evaluation Based on Entropy Fuzzy AHP

LIU Zi-qi1, 2, 3, 4, GUO Bing-hui1, 2, 3, 4, CHENG Zhen5, YANG Xiao-bo1, 2, 3, 4 and YIN Zi-qiao1, 2, 3, 4   

  1. 1 School of Mathematical Sciences,Beihang University,BeiJing 100191,China
    2 Peng Cheng Laboratory,Shenzhen,Guangdong 518055,China
    3 Big Data Brain Computing,BeiJing 100191,China
    4 Key Laboratory of Mathematics Informatics and Behavioral Semantics,Ministry of Education,BeiJing 100191,China
    5 China Aerospace Academy of Systems Science and Engineering,BeiJing 100046,China
  • Published:2020-07-07
  • About author:LIU Zi-qi, born in 1996, postgraduate.He is a student member of China Computer Federation.His main research interests include data science, and complex intelligent system.
    GUO Bin-gui, born in 1982, associate professor, Ph.D supervisor.He is a professional member of China Computer Federation.His main research interests include data science, and complex intelligent system.
  • Supported by:
    This work was supported by the Artificial Intelligence ProJect(2018AAA0102301),National Natural Science Foundation of China (11671025) and Fundamental Research of Civil Aircraft (MJ-F-2012-04).

摘要: 评价体系的科学性直接关系到对被评价对象优劣的认识程度,将科学方法应用于评价体系的构建具有重大意义。针对传统的模糊层次分析法(Fuzzy Analytic Hierarchy Process,FAHP)依靠专家对指标的评判结果和人工给定专家系数计算指标权重存在较强的主观因素从而导致结果不准确的问题,提出了熵值模糊层次分析法。该方法将熵值法和FAHP结合,首先分析专家调查结果得到判断矩阵,进一步将模糊层次分析法中基于专家系数计算指标权重改为利用熵值法对判断矩阵计算得到指标权重,最终利用模糊评价法得到面向对象策略的评价分数。为了检验该算法的客观性及有效性,以国防科技战略事前有效性指标为研究对象,将《2016中国的航天》白皮书作为评估对象进行实例验证。结果表明,熵值法优化权重之后的评分有较大提升,说明熵值法与模糊层次分析法的结合是有效的。

关键词: 层次分析法, 模糊评价, 判断矩阵, 信息熵

Abstract: The scientificity of the evaluation system is directly related to the degree of understanding of the merits and demerits of the evaluated obJects.It is of great significance to apply the scientific methods to the construction of the evaluation system.In this paper,aiming at the problem that the traditional Fuzzy Analytic Hierarchy Process (FAHP) relies on experts’ evaluation of indicators and artificially given expert coefficients to calculate index weights with strong subJective factors,which lead to inaccurate results,the Entropy Fuzzy Analytic Hierarchy Process was proposed.Firstly,the expert survey results were analyzed to obtain the Judgment matrix,then the index weights calculation method based on expert coefficients in fuzzy analytic hierarchy process was changed to entropy method,finally,the evaluation scores of the obJect-oriented were obtained by using the fuzzy evaluation method.In order to test the obJectivity and effectiveness of the algorithm,the pre-existing effectiveness index of national defense science and technology strategy was taken as the research obJect,and the white paper of “2016 China Aerospace” was used as an example.The results show that the score obtained by entropy fuzzy analytic hierarchy process is greatly improved,indicating the effectiveness of the combination of entropy method and fuzzy analytic hierarchy process.

Key words: Analytic hierarchy process, Fuzzy evaluation, Information entropy, Judgment matrix

中图分类号: 

  • TP181
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