In this manuscript, we present complex proportional assessment (COPRAS) method to solve multi-criteria decision-making (MCDM) problems with intuitionistic fuzzy information, known as IF-COPRAS method. In this method, a new formula is developed to evaluate the criterion weights, in which the objective weights are calculated from divergence measure method. For this, new parametric divergence and entropy measures are investigated and some desirable properties are also discussed. Since the vagueness or uncertainty is an unavoidable characteristic of MCDM problems, the proposed approach can be a useful tool for decision making in an uncertain atmosphere. Further, a decision-making problem of green supplier selection is presented to demonstrate the usefulness of the proposed method. To illustrate the validity of the proposed method, comparison with existing methods is presented and the stability is also discussed through a sensitivity analysis with different values of criterion weights.

中文翻译：

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基于直觉模糊集参数测度的多准则COPRAS方法：绿色供应商选择的应用

在本手稿中，我们提出了复杂比例评估 (COPRAS) 方法来解决具有直觉模糊信息的多标准决策 (MCDM) 问题，称为 IF-COPRAS 方法。在该方法中，开发了一个新的公式来评估标准权重，其中客观权重是从散度测度方法计算出来的。为此，研究了新的参数散度和熵度量，并讨论了一些理想的属性。由于模糊性或不确定性是 MCDM 问题不可避免的特征，因此所提出的方法可以成为在不确定环境中进行决策的有用工具。此外，还提出了绿色供应商选择的决策问题，以证明所提出方法的有效性。为了说明所提出方法的有效性，