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Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization

机译:一些q-阶邻对模糊Maclaurin对称均值算子及其在新兴技术商业化潜力评估中的应用

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The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation operator used in modern information fusion theory, which is suitable to aggregate numerical values. The prominent characteristic of the MSM operator is that it can capture the interrelationship among the multi-input arguments. In this paper, we extend the MSM operator and dual MSM operator to q-rung orthopair fuzzy sets to propose the q-rung orthopair fuzzy MSM operator, q-rung orthopair fuzzy dual MSM operator, q-rung orthopair fuzzy weighted MSM operator, and q-rung orthopair fuzzy weighted dual MSM operator. Then, some desirable properties and special cases of these operators are discussed in detail. Finally, a numerical example is provided to illustrate the feasibility of the proposed methods and deliver the sensitivity analysis and comparative analysis.
机译:Maclaurin对称均值(MSM)算子是现代信息融合理论中使用的经典均值类型聚合算子,适用于聚合数值。 MSM运算符的突出特点是它可以捕获多输入参数之间的相互关系。在本文中,我们将MSM算子和对偶MSM算子扩展到q阶邻对模糊集,从而提出q阶邻对模糊MSM算子,q阶邻对模糊对偶MSM算子,q阶邻对模糊加权MSM算子和q级邻对对模糊加权对偶MSM算子。然后,详细讨论了这些运算符的一些理想特性和特殊情况。最后,通过数值例子说明了所提方法的可行性,并进行了敏感性分析和比较分析。

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