The objective of the paper is to introduce a novel approach using the multi-attribute border approximation area comparison (MABAC) approach under intuitionistic fuzzy sets (IFSs) to solve the smartphone selection problem with incomplete weights or completely unknown weights. A novel discrimination measure of IFSs is proposed to calculate criteria weights. In view of the fact that the ambiguity is an unavoidable feature of multiple-criteria decision-making (MCDM) problems, the proposed approach is an innovative process in the decision-making under uncertain settings. To express the utility and strength of the developed approach for solving problems in the area of MCDM, a smartphone selection problem is demonstrated. To validate the IF-MABAC approach, a comparative discussion is made between the outcomes of the developed and those of the existing methods. The outcomes of analysis demonstrate that the introduced method is well-ordered and effective with the existing ones. PDF  XML

中文翻译：

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扩展直觉模糊多属性边界近似区域识别方法的智能手机选择

本文的目的是介绍一种在直觉模糊集（IFS）下使用多属性边界近似区域比较（MABAC）方法的新颖方法，以解决权重不完全或权重完全未知的智能手机选择问题。提出了一种新颖的IFS判别方法来计算标准权重。鉴于歧义是多准则决策（MCDM）问题的不可避免特征，因此所提出的方法是不确定环境下决策的创新过程。为了表达开发的方法解决MCDM领域中的问题的实用性和强度，演示了智能手机选择问题。为了验证IF-MABAC方法，在已开发方法和现有方法的结果之间进行了比较讨论。分析结果表明，引入的方法与现有方法有序且有效。PDF XML