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Some Intuitionist Fuzzy Weighted Geometric Distance Measures and Their Application to Group Decision Making

机译:直觉模糊加权几何距离测度及其在群决策中的应用

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摘要

The ordered weighted distance (OWD) measure developed by Xu and Chen~(43) having been proved suitable to deal with the situation where the input arguments are represented in exact numerical values. In this paper, we develop some new geometric distance measures with intuitionistic fuzzy information, which are the generalization of some widely used distance measures, including the intuitionistic fuzzy weighted geometric distance (IFWGD) measure, the intuitionistic fuzzy ordered weighted geometric distance (IFOWGD) measure, the intuitionistic fuzzy ordered weighted geometric Hamming distance (IFOWGHD) measure, the intuitionistic fuzzy ordered weighted geometric Euclidean distance (IFOWGED) measure, the intuitionistic fuzzy hybrid weighted geometric distance (IFHWGD) measure. These developed weighted geometric distance measures are very suitable to deal with the situation where the input arguments are represented in intuitionistic fuzzy values. And then, we present a consensus reaching process based on the developed distance measures with intuitionistic fuzzy preference information for group decision making. Finally, we apply the developed approach with a numerical example to group decision making under intuitionistic fuzzy environment.
机译:Xu和Chen〜(43)提出的有序加权距离(OWD)度量已被证明适用于处理输入自变量以精确数值表示的情况。在本文中,我们利用直觉模糊信息开发了一些新的几何距离度量,它们是一些广泛使用的距离度量的推广,包括直觉模糊加权几何距离(IFWGD)度量,直觉模糊有序加权几何距离(IFOWGD)度量,直觉模糊有序加权几何汉明距离(IFOWGHD)度量,直觉模糊有序加权几何欧几里德距离(IFOWGED)度量,直觉模糊混合加权加权几何距离(IFHWGD)度量。这些发达的加权几何距离度量非常适合处理以直觉模糊值表示输入自变量的情况。然后,基于提出的距离测度和直觉模糊偏好信息,提出了一种共识达成过程,用于群体决策。最后,我们将所开发的方法与一个数值例子一起应用于直觉模糊环境下的群体决策。

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