基于分式规划的区间直觉梯形模糊数多属性决策方法
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江西财经大学

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万树平

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基于区间直觉梯形模糊数的多属性决策和群决策理论与方法;基于随机时变需求的供应链库存动态控制研究;基于博弈的模糊多属性决策理论与方法研究


Multi-attribute decision making method based on inter-valued
trapezoidal intuitionistic fuzzy number
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    摘要:

    针对属性值为区间梯形直觉模糊且属性权重为区间数的多属性决策问题, 提出一种基于分式规划的决策方
    法. 定义了区间梯形直觉模糊数的Hamming 距离和Euclidean 距离, 采用优劣解距离法构建了相对贴近度的非线性
    分式规划模型, 并通过Charnes and Cooper 变换转化为线性规划模型求解, 得到各方案相对贴近度的区间数, 进而提
    出了决策方法. 数值算例分析验证了所提出方法的有效性.

    Abstract:

    For the problem of multi-attribute decision making, in which the attribute values are the interval-valued trapezoidal
    intuitionistic fuzzy numbers and the weights of attributes are intervals, a decision making method is proposed based on
    fractional programming. Hamming and Euclidean distances for interval-valued trapezoidal intuitionistic fuzzy numbers are
    defined. By using the TOPSIS(technique for order preference by similarity to an ideal solution), the models of non-linear
    fractional programming for alternative’s relative closeness are built. Through the Charnes and Cooper transformations, these
    non-linear models are transformed into linear programming models. The interval of alternative’s relative closeness is obtained
    by solving these linear programming models, and the method of decision making is given. The numerical example analysis
    shows the effectiveness of the method.

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万树平.基于分式规划的区间直觉梯形模糊数多属性决策方法[J].控制与决策,2012,27(3):455-458

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  • 收稿日期:2010-10-09
  • 最后修改日期:2010-12-11
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  • 在线发布日期: 2012-03-20
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