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An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection

机译:绿色供应商选择的直觉模糊判断矩阵与TOPSIS综合多准则决策方法

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摘要

This article proposes an intuitionistic fuzzy multi-criteria decision making method for supplier selection problem in which attribute values take the form of intuitionistic fuzzy numbers and attribute weights are completely unknown in advance. Firstly, the definition of intuitionistic fuzzy judgement matrix by conducting pair-wise comparisons for green supplier selection criteria is introduced. Then, a novel approach for making priority of the intuitionistic fuzzy judgement matrix is proposed to determine the subject weights of criteria. Secondly, an optimization model is established to determine the objective weights, which maximizes the distance of every alternative to negative-ideal solution. Furthermore, the subject and objective weights are integrated to general weights. Then, a Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS) method combined with intuitionistic fuzzy set is set up to rank all the alternatives. The novelty of this method is that it conducts sensitivity analysis to determine the impact of criteria weights on ranking order of alternatives. Finally, a numerical example for green supplier selection is given to illustrate application of the proposed approach.
机译:针对供应商选择问题,提出一种直觉模糊多准则决策方法,其中属性值采用直觉模糊数形式,且属性权重事先完全未知。首先,通过对绿色供应商选择标准进行成对比较,引入直觉模糊判断矩阵的定义。然后,提出了一种新的优先级直觉模糊判断矩阵的方法来确定标准的主题权重。其次,建立了一个优化模型来确定目标权重,该模型使每个备选方案与负理想解的距离最大化。此外,主题和客观权重已整合到一般权重中。然后,建立了一种通过与理想解的相似性对偏好进行排序的技术(TOPSIS),并结合直觉模糊集来对所有选择进行排序。该方法的新颖之处在于它可以进行敏感性分析,以确定标准权重对替代方案的排名顺序的影响。最后,给出了一个绿色供应商选择的数值例子来说明所提出的方法的应用。

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