修正模糊TOPSIS方法在土木工程多准则决策中的应用

Z. Prascevic, Natasa Prascevic
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引用次数: 0

摘要

本文提出并应用一种模糊TOPSIS方法对重建和维修对象进行多准则排序。首先简要回顾了该方法的起源和发展,并描述了一个具有清晰输入数据的TOPSIS过程,该过程构成决策矩阵和标准权重。通过一个简单的数值例子说明了这一过程。由于这些参数在实践中不可能精确确定或评估,因此有必要将其表示为三角模糊数。本文给出了本文作者先前导出的判定矩阵与权重系数乘积为三角模糊数的精确表达式。对于每一个备选方案(对象),这些参数被假定为随机模糊数,确定了广义期望值、方差和标准差。由归一化的期望值矩阵确定期望的理想正值和理想负值。对于每一个备选方案,确定了与理想正解和理想负解的广义期望距离和相对接近度。根据这些值执行备选方案的排序。本文提出了备选(对象)投资分配系数的数学表达式。最后给出了一个根据风险对桥梁结构进行排序的实例,并得出了相应的结论。
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Application of modified fuzzy TOPSIS method for multicriteria decisions in civil engineering
In this paper is presented and applied one fuzzy TOPSIS method for the multicriteria ranking of objects for reconstruction and maintenance. At the beginning is given short review on the genesis and development of this method and described a TOPSIS procedure with crisp input data that constitute a decision matrix and weights of criteria. This procedure is illustrated by one simple numerical example. The necessity of presentation of these parameters as triangular fuzzy numbers due to impossibility of their precise determination or assessment in the practice. The exact expressions for the determination of these products of the decision matrix and weights coefficients as triangular fuzzy numbers, that authors of this paper are derived earlier, are given in the paper. For every alternative (the object) these parameters are assumed as random fuzzy numbers for which are determined generalised expected values, variances and standard deviations. From the normalised matrix of the expected values are determined expected ideal positive and ideal negative values. For every alternative are determined generalized expected distances and relative closenesses to the ideal positive and ideal negative solution. The ranking of alternatives is performed according to these values. Mathematical expressions for coefficients of investments distribution on the alternatives (objects) are proposed in the work. One example of ranking of the bridge structures according to the risk is given at the end of the work and formulated corresponding conclusions.
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自引率
25.00%
发文量
4
审稿时长
4 weeks
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