基于区间粗糙算子的粗糙随机多准则决策方法
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1. 中南大学商学院
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作者简介:

王坚强

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中图分类号:

基金项目:

国家自然科学基金;湖南省软科学基金;国家自然科学基金重点项目


Rough stochastic multi-criteria decision-making approach based on interval rough operators
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;Soft Science Fundation of Hunan

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    摘要:

    定义了区间粗糙随机变量、区间粗糙数的运算法则以及期望值和区间粗糙集结算子(WIRDAA). 针对准则
    权重信息不完全, 准则值为区间粗糙随机变量的粗糙随机多准则决策问题, 提出一种基于WIRDAA算子的决策方法.
    该方法首先计算出变量的期望值矩阵, 利用距离最小化建立模型求解出准则权重; 然后利用WIRDAA算子求出各方
    案的综合评价值, 通过比较得到方案集的排序; 最后通过实例表明了所提出方法的有效性和可行性.

    Abstract:

    The definition of interval rough stochastic variables and the arithmetic operations as well as the expected value
    of interval rough stochastic numbers are given. And an interval rough operator called interval rough distance weighted
    arithmetic averaging(WIRDAA) is introduced. For the problem with information of criterion weights incomplete and the
    evaluation under each criterion represented as interval rough stochastic variables, a method based on WIRDAA operator is
    proposed. The method calculates the expected value of variables to obtain the expected value matrix. Then a programming
    model is built to get the criterion weights with the objective function of minimizing the distance. By WIRDAA operator, the
    overall evaluation of each alternate is obtained, and the resulted ordering of alternates is obtained according to their overall
    evaluations. Finally, an example shows the feasibility and validity of the proposed approach.

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引用本文

王坚强 唐平.基于区间粗糙算子的粗糙随机多准则决策方法[J].控制与决策,2011,26(7):1056-1059

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历史
  • 收稿日期:2010-04-16
  • 最后修改日期:2010-05-30
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  • 在线发布日期: 2011-07-20
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