Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (3): 54-57.DOI: 10.3778/j.issn.1002-8331.1506-0060

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Multiple attribute decision-making of interval rough number based on connection number

ZENG Xuelan, XIE Fengping   

  1. School of Mathematics and Information Sciences, Guangxi University, Nanning 530004, China
  • Online:2017-02-01 Published:2017-05-11



  1. 广西大学 数学与信息科学学院,南宁 530004

Abstract: The definition of interval rough number, obeying the normal distribution, is given and the connection number algorithms are added. A connection number model is transformated by establishing interval rough number mean-variance and using the uncertainty theory of the set pair analysis. For the attribute values are interval rough number and attribute weights are known, a multiple attribute decision making method based on connection number is proposed. Then the decision-making steps are given. Finally, a numerical example is given to show this approach is effective, practical and simple.

Key words: interval rough number, connection number, multiple attribute decision making, normal distribution

摘要: 定义了正态分布的区间粗糙数,补充联系数的运算法则。利用集对分析的不确定性理论,建立了区间粗糙数的均值-方差联系数模型,针对属性值为区间粗糙数且权重已知的区间粗糙数多属性决策问题,提出了一种基于联系数的区间粗糙数多属性决策方法,并给出了决策的步骤。最后,通过实例分析,表明该方法的有效性和实用性,且计算简单易行。

关键词: 区间粗糙数, 联系数, 多属性决策, 正态分布