离散型Z-number效用的计算及其应用
DOI:
作者:
作者单位:

作者简介:

通讯作者:

基金项目:


Calculation Method of Utility of Discrete Z-number and Its Application
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    针对Z-number效用的问题,提出了离散型Z-number效用的计算方法。首先,针对离散型Z-number的隶属度值的两种分布类型,基于3σ原则和线性函数分别提出了两种不同的将离散型模糊数转化成高斯模糊数和三角模糊数的方法,从而将离散型Z-number转化成连续型Z-number;然后结合连续型Znumber的效用函数,针对转化后的Z-number的4种情形,给出了离散型Z-number效用的计算方法;最后,通过一个多属性决策实例,利用提出的转化方法和计算方法将目标属性信息转化成效用值,并结合基于信息熵的多属性决策方法,给出决策目标的最优排序,从而展现两种离散模糊数的转化方法以及离散型Z-number效用计算方法的可行性和有效性。

    Abstract:

    In order to solve the problem of utility of Z-number, a method of calculating the utility of discrete Z-number is proposed. Firstly, according to the two distribution patterns of membership value of the discrete Z-number, the two different methods of transforming discrete fuzzy number into Gauss fuzzy number and triangular fuzzy number are proposed based on 3σ principle and linear function respectively, so that the discrete Z-number is transformed into continuous Z-number. Then based on the utility function of continuous Z-number and the four situations of Z-number after being transformed, the calculation method of utility of the discrete Z-number is proposed. Finally, through a multi-attribute decision-making case, the proposed transforming methods and calculation method are used to transform objective attribute information into utility value, via multiple attribute decision-making method based on information entropy, the optimal sorting of decision-making objective is given, so that the effectiveness and feasibility of transforming method for the two discrete fuzzy numbers and calculation method of the utility of the discrete Z-number are verified.

    参考文献
    相似文献
    引证文献
引用本文

吴敏超,毛军军, 姚登宝.离散型Z-number效用的计算及其应用[J].重庆工商大学学报(自然科学版),2019,36(2):16-21
WU Min-chao, MAO Jun-jun, YAO Deng-bao. Calculation Method of Utility of Discrete Z-number and Its Application[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2019,36(2):16-21

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-04-08
×
2023年《重庆工商大学学报(自然科学版)》影响因子稳步提升