Intuitionistic fuzzy ordered weighted distance operator
Intuitionistic fuzzy ordered weighted distance operator
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DOI：
10.1016/j.knosys.2011.05.013
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Shouzhen Zeng;Weihua Su
中科院分区：
文献类型：
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作者：
Shouzhen Zeng;Weihua Su
有序加权距离[27,49]是一种新的决策技术，已被证明对于以精确数字形式处理输入数据非常有用。在本文中，我们考虑具有直觉模糊信息的情况，并开发了一种直觉模糊有序加权距离（IFOWD）算子。 IFOWD 算子非常适合处理输入数据以直观模糊信息表示的情况，并且包括广泛的距离度量和聚合算子。我们研究了它的一些主要属性和 IFOWD 运算符的不同系列。最后，我们开发了新方法在直觉模糊环境下群体决策中的应用，并用数值例子进行了说明。
The ordered weighted distance [27,49] is a new decision-making technique, having been proved useful for the treatment of input data in the form of exact numbers. In this paper, we consider the situation with intuitionistic fuzzy information and develop an intuitionistic fuzzy ordered weighted distance (IFOWD) operator. The IFOWD operator is very suitable to deal with the situations where the input data are represented in intuitionistic fuzzy information and includes a wide range of distance measures and aggregation operators. We study some of its main properties and different families of IFOWD operators. Finally, we develop an application of the new approach in a group decision-making under intuitionistic fuzzy environment and illustrate it with a numerical example.