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Some q-rung interval-valued orthopair fuzzy Maclaurin symmetric mean operators and their applications to multiple attribute group decision making

机译:一些q级间隔值邻对模糊Maclaurin对称均值算子及其在多属性群决策中的应用

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摘要

In this paper, according to the Maclaurin symmetric mean (MSM) operator, the dual MSM (DMSM) operator and the q-rung interval-valued orthopair fuzzy set (q-RIVOFS), we develop some novel MSM operators under the q-rung interval-valued orthopair fuzzy environment, such as, the q-rung interval-valued orthopair fuzzy MSM operator, the q-rung interval-valued orthopair fuzzy weighted MSM (q-RIVOFWMSM) operator, the q-rung interval-valued orthopair fuzzy DMSM operator, and the q-rung interval-valued orthopair fuzzy weighted DMSM operator. In addition, some precious properties and numerical examples of these new operators are given in detail. These new operators have the advantages of considering the interrelationship of arguments and can deal with multiple attribute group decision-making problems with q-rung interval-valued orthopair fuzzy information. Finally, a reality example for green suppliers selection in green supply chain management is provided to demonstrate the proposed approach and to verify its rationality and scientific.
机译:本文根据Maclaurin对称均值(MSM)算子,对偶MSM(DMSM)算子和q阶间隔值邻对模糊集(q-RIVOFS),在q阶下开发了一些新颖的MSM算子间隔值正交对模糊环境,例如q阶间隔值邻对模糊MSM算子,q阶间隔值邻对模糊加权MSM(q-RIVOFWMSM)算子,q阶间隔值邻对模糊DMSM运算符和q阶间隔值邻对模糊加权DMSM运算符。此外,还详细给出了这些新运算符的一些珍贵属性和数值示例。这些新的算子具有考虑参数之间的相互关系的优势,并且可以使用q阶间隔值邻对对模糊信息来处理多属性组决策问题。最后,提供了一个在绿色供应链管理中选择绿色供应商的现实例子,以证明所提出的方法并验证其合理性和科学性。

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