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Multi-objective grey target decision making methods under the information of three-parameter interval grey numbers

机译:三参数间隔灰度信息中的多目标灰色目标决策方法

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Existing study on grey target decision-making methods mainly for the cases when the decision-making information is real numbers or grey interval numbers. In the case when the decision-making information is three-parameter interval grey numbers, existing grey target decision-making methods can no longer solve such problems. So, based on the characteristics of three-parameter interval grey numbers and the advantages of grey target, multi-objective grey-target decision-making methods under the information of three-parameter interval grey numbers are developed in this paper. A distance between three-parameter interval grey numbers is defined. The underling decision-making problem is considered in two cases: when the grey target weight is known or when it is unknown. The methods of weighted bull's eye distance of three-parameter interval grey numbers, the methods of deviation from the bull's-eye degree and the methods of square distance are given, as well as the algorithm for each method. An example is also presented to illustrate the usefulness and effectiveness of the methods obtained.
机译:灰色目标决策方法的现有研究主要在决策信息是实数或灰度间隔的情况下。在决策信息是三个参数间隔灰度的情况下,现有的灰色目标决策方法不再能够解决这些问题。因此,基于三参数间隔灰度数的特点和灰色目标的优点,本文开发了三个参数间隔灰度数的信息下的多目标灰度决策方法。定义了三个参数间隔灰度之间的距离。在两种情况下考虑了内幕决策问题:当灰色目标重量是已知的或未知的时候。给出了三参数间隔灰度数的加权牛眼距离,给出了与公牛眼程度的偏差方法以及方形距离的方法,以及每个方法的算法。还提出了一个例子以说明所获得的方法的有效性和有效性。

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