A novel additive consistency for intuitionistic fuzzy preference relations

Xiaona Lu, He Li
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Abstract

Intuitionistic fuzzy preference relations (IFPRs), as an effective tool for expressing pair-wise comparisons between alternatives, has a great advantage in group decision making (GDM). The manuscript first compares and analyzes the existing definitions of additive consistency for IFPRs and points out the shortcomings of the existing definitions of additive consistency for IFPRs. To fill these gaps, a new definition of additive consistency for IFPRs is proposed Meanwhile, a mathematical programming model is presented to check whether an IFPR is additively consistent or not. In addition, for an inconsistent IFPR, a mathematical programming model is put forward to improve the consistent level. Furthermore, based on the mathematical programming model, a new individual marking decision method with IFPR is proposed, and the merits of the proposed method is analyzed through a associated example.
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直觉模糊偏好关系的一种新的加性一致性
直觉模糊偏好关系作为一种表达方案间两两比较的有效工具,在群体决策中具有很大的优势。本文首先比较和分析了ifrs中现有的可加性一致性定义,并指出了ifrs中现有的可加性一致性定义的不足。为了填补这些空白,提出了IFPR的加性一致性的新定义,并提出了一个数学规划模型来检验IFPR是否具有加性一致性。此外,对于不一致的IFPR,提出了一种数学规划模型来提高其一致性水平。在数学规划模型的基础上,提出了一种新的基于IFPR的个体标记决策方法,并通过实例分析了该方法的优点。
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