Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (33): 17-20.DOI: 10.3778/j.issn.1002-8331.2010.33.005

• 博士论坛 • Previous Articles     Next Articles

Analysis based on decision relational degree for adaptively adjusting weights of experts

WANG Jun-ying1,2,LI De-hua1,WU Shi-hong1   

  1. 1.Institute for Pattern Recognition & Artificial Intelligence,Huazhong University of Science & Technology,Wuhan 430074,China
    2.College of Electrical Engineering & Information Technology,China Three Gorges University,Yichang,Hubei 443002,China
  • Received:2009-09-11 Revised:2009-11-11 Online:2010-11-21 Published:2010-11-21
  • Contact: WANG Jun-ying



  1. 1.华中科技大学 图像识别与人工智能研究所,武汉 430074
    2.三峡大学 电气信息学院,湖北 宜昌 443002
  • 通讯作者: 王俊英

Abstract: For multiple attributive group decision,an improved method based on decision relational degree is proposed to adaptively adjust the experts weights.It receives the relatively stable group decision results and the expert weight through the objective weights of experts,based on the decision relational degree between the individual and group decision.The experitmental results show that more reasonable group decision result and faster covergence are obtained by the proposed method.

摘要: 针对多属性群决策问题,在已知属性权重和专家主观权重的基础上,提出了一种基于决策关联度的专家权重自适应调整方法。通过专家的个体决策与群体决策之间的决策关联度对专家的客观权重进行调整,从而得到相对稳定的决策结果和相应的专家综合权重。实验结果表明调整后的专家权重与决策结果是合理的,而且收敛速度更快。

CLC Number: