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Intuitionistic Fuzzy Soft Aggregation Operator Based on Einstein Norms and Its Applications in Decision-Making

机译:基于爱因斯坦规范的直觉模糊软聚合运营商及其在决策中的应用

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The manuscript aims to create a few aggregation operators based on Einstein norms under intuitionistic fuzzy (IF) soft set environment. For this, some operational laws based on Einstein sum and product are discussed. Then, based on these operations, Einstein averaging and geometric operators such as IF soft weighted Einstein averaging (IFSWEA) and IF soft weighted Einstein geometric (IFSWEG) operator are proposed. Further, some of their properties are investigated and the relationship between the proposed operators and the existing ones is explored. Furthermore, an approach for solving DM problems has been presented and illustrated with an example for demonstrating the effectiveness of proposed work.
机译:稿件旨在基于直觉模糊(IF)软设置环境下的Einstein规范的一些聚合运营商。为此,讨论了一些基于爱因斯坦和和产品的运营法律。然后,基于这些操作,Einstein平均和几何运算符,例如软加权Einstein平均(IfsweA)以及如果提出软加权Einstein几何(Ifsweg)操作员。此外,研究了一些属性,探讨了拟议的运营商与现有的关系。此外,已经提出和说明了用于解决DM问题的方法,以示出所提出的工作的有效性。

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