Abstract: Based on intuitionistic fuzzy sets theory, the improved intuitionistic fuzzy aggregation operator is presented to research the multiple attribute decision making problems. In this paper, we define the algorithms of intuitionistic fuzzy and compare the intuitionistic fuzzy information integrated operators. Then we improve the classic score function, combine that with the intuitionistic fuzzy aggregation operators and hence obtain a new method to integrate intuitionistic fuzzy information. This method is applied to solve the intuitionistic fuzzy multiple attribute decision making problems with known attribute weights. Finally, an example is shown to illustrate the effectiveness and procedure of the proposed method.

Key words: management science and engineering, multiple attribute decision making, operational laws, score function, intuitionistic fuzzy aggregation operators

摘要： 基于直觉模糊集理论,提出了改进直觉模糊集成算子方法来研究多属性决策问题。本文定义了直觉模糊数的运算法则和比较了直觉模糊信息的一系列集成算子,然后改进了传统得分函数,并将其与直觉模糊集成算子相结合,从而得到新的直觉模糊信息的集成方式,将其运用于解决属性权重已知的直觉模糊多属性决策问题。最后,通过具体实例说明该方法的有效性和具体应用过程。

关键词: 管理科学与工程, 多属性决策, 运算法则, 得分函数, 直觉模糊集成算子