In order to obtain the weights of a set of criteria by means of real-world data, an effective method based on the covering-based variable precision intuitionistic fuzzy rough set (CVPIFRS) models is presented. By combining the CVPIFRS models with the idea of TOPSIS, we propose a decision-making method to effectively settle the complex and changeable bone transplant selections, which is one of typical multi-attribute decision-making (MADM) problems. The sensitivity analysis of the proposed method shows that the approach is highly flexible and can be applied to a wide range of environments by adjusting the values of the intuitionistic fuzzy (IF) variable precision, together with the choice of different IF logical operators. Through a comparison of the proposed method and some existing MADM methods, it is shown that our method is more effective in dealing with these complex and changeable bone transplant selections issues.

为了利用现实世界的数据获得一组标准的权重，提出了一种基于覆盖的变精度直觉模糊粗糙集模型的有效方法。通过将CVPIFRS模型与TOPSIS理念相结合，我们提出了一种决策方法来有效解决复杂多变的骨移植选择，这是典型的多属性决策（MADM）问题之一。该方法的灵敏度分析表明，该方法具有很高的灵活性，通过调整直觉模糊（IF）变量精度的值以及选择不同的IF逻辑运算符，可以将该方法应用于广泛的环境。通过比较所提出的方法和一些现有的MADM方法，