作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2009, Vol. 35 ›› Issue (18): 4-6. doi: 10.3969/j.issn.1000-3428.2009.18.002

• 博士论文 • 上一篇    下一篇

基于信息熵的改进模糊综合评价方法

刘 力,周建中,杨俊杰,安学利,张勇传   

  1. (华中科技大学水电与数字化工程学院,武汉 430074)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-09-20 发布日期:2009-09-20

Improved Fuzzy Comprehensive Assessment Method Based on Information Entropy

LIU Li, ZHOU Jian-zhong, YANG Jun-jie, AN Xue-li, ZHANG Yong-chuan   

  1. (College of Hydroelectric and Digitalization Engineering, Huazhong University of Science and Technology, Wuhan 430074)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-09-20 Published:2009-09-20

摘要: 将信息熵理论与模糊数学方法相结合,建立基于熵权的改进模糊综合评价方法。引用熵权所反应的数据本身的效用值来修正指标的权重系数,通过设定有效度指标来判断评价结果的有效性,采用基于贴近度的择近原则对失效结果做出新的评价。以水质评价为对象,通过实例计算并进行对比分析,发现其结果与其他评价方法的结果基本一致甚至更合理,表明该方法不但结构严谨,而且可信度较高,能有效提高模糊综合评价方法的工程实用性。

关键词: 信息熵, 模糊综合评价, 权重系数, 有效度

Abstract: The fuzzy mathematics method are combined to establish an improved fuzzy comprehensive assessment method which is based on information entropy. In this model, the coefficients of weight are modified by the information entropy which reflect the avail value of data, and the validity of results are judged by the validate index, then the selection nearness principle which based on closeness degree are given to get the new assessments of which have a ineffective one. A case study is given by using this model and the results compared with the other methods shows that the model established in this paper is strict and reliable, and it is worthy extending.

Key words: information entropy, fuzzy comprehensive assessment, coefficient of weight, validity

中图分类号: