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Fuzzy linguistic induced OWA Minkowski distance operator and its application in group decision making

机译:模糊语言诱导的OWA Minkowski距离算子及其在群体决策中的应用

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摘要

The Minkowski distance is a distance measure that generalizes a wide range of other distances such as the Euclidean and the Hamming distance. In this paper, we develop a new decision making model using induced ordered weighted averaging operators and the Minkowski distance of the fuzzy linguistic variables. Then, the authors introduce a new aggregation operator called the fuzzy linguistic induced ordered weighted averaging Minkowski distance (FLIOWAMD) operator by defining a fuzzy linguistic variable distance. It is an induced generalized aggregation operator that utilizes induced OWA operator, Minkowski distance measures and uncertain information represented as fuzzy linguistic variables. Some of its main properties and particular cases are studied. And a further generalization that uses quasi-arithmetic means also is presented. A method based on the FLIOWAMD operator for decision making is presented. At last, we end the paper with a numerical example of the new method.
机译:Minkowski距离是一种距离度量,可以概括其他各种距离,例如欧几里得距离和汉明距离。在本文中,我们使用诱导有序加权平均算子和模糊语言变量的Minkowski距离开发了一个新的决策模型。然后,作者通过定义模糊语言可变距离,引入了一种新的聚合算子,称为模糊语言诱导有序加权平均Minkowski距离(FLIOWAMD)算子。它是一种归纳的广义集合算子,它利用归纳的OWA算子,Minkowski距离度量和表示为模糊语言变量的不确定信息。研究了它的一些主要特性和特殊情况。并且还提出了使用拟算术手段的进一步概括。提出了一种基于FLIOWAMD算子的决策方法。最后,我们以新方法的数值示例结束本文。

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