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