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首页> 外文期刊>Systems, Man, and Cybernetics: Systems, IEEE Transactions on >Fuzzy Multiple Attributes Group Decision-Making Based on Ranking Interval Type-2 Fuzzy Sets and the TOPSIS Method
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Fuzzy Multiple Attributes Group Decision-Making Based on Ranking Interval Type-2 Fuzzy Sets and the TOPSIS Method

机译:基于秩区间2型模糊集和TOPSIS方法的模糊多属性群决策

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摘要

In this paper, we present a new method for fuzzy multiple attributes group decision-making based on the proposed ranking method of trapezoidal interval type-2 fuzzy sets and the TOPSIS method. Firstly, we present a new method for ranking trapezoidal interval type-2 fuzzy sets. Secondly, we construct the decision matrix and the average decision matrix, respectively. Thirdly, we construct the weighting decision matrix and average weighting decision matrix, respectively. Fourthly, we construct the ranking decision matrix by calculating the ranking values of trapezoidal interval type-2 fuzzy sets in the average decision matrix. Then, we get the absolute positive ideal solution and the absolute negative ideal solution with respect to the attributes based on the ranking decision matrix. Then, we calculate the distance between each alternative and the absolute positive ideal solution and calculate the distance between each alternative and the negative ideal solution, respectively. Finally, we calculate the relative degree of closeness of each alternative. The larger the value of the relative degree of closeness of an alternative, the better the preference order of the alternative. The proposed fuzzy multiple attributes group decision-making method can overcome the drawbacks of the existing method.
机译:本文基于梯形区间2型模糊集的排序方法和TOPSIS方法,提出了一种新的模糊多属性群决策方法。首先,我们提出了一种新的梯形区间2型模糊集排序方法。其次,分别构造决策矩阵和平均决策矩阵。第三,分别构造加权决策矩阵和平均加权决策矩阵。第四,通过计算平均决策矩阵中梯形区间2型模糊集的排序值,构建排序决策矩阵。然后,基于排序决策矩阵,得到关于属性的绝对正理想解和绝对负理想解。然后,我们分别计算每个备选方案与绝对理想解之间的距离,并分别计算每个备选方案与负理想解之间的距离。最后,我们计算每个替代方案的相对接近程度。替代方案的相对亲近度的值越大,替代方案的优先顺序越好。提出的模糊多属性群决策方法可以克服现有方法的弊端。

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