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Complex fuzzy ordered weighted quadratic averaging operators

机译:复杂的模糊有序加权二次平均运算符

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摘要

A complex fuzzy set, the generalization of fuzzy set provides a powerful mathematical framework whose membership degrees are in the form of complex numbers in the unit disc. The averaging operators consisting of the properties of both t-norm and t-conorm are of great importance in complex fuzzy environment. In this paper, we present certain quadratic averaging operators, including complex fuzzy weighted quadratic averaging, complex fuzzy ordered weighted quadratic averaging, complex fuzzy Einstein weighted quadratic averaging and complex fuzzy Einstein ordered weighted quadratic averaging operators. These operators are used to study many different issues of periodic nature. We apply these models to the multi-attribute decision-making problems and wireless detection of target location. Conclusively, we can choose the best opinion by the ranking of the aggregated outputs and detect the position and direction of a target. Moreover, we describe these models through numerical examples to check their validity and importance in real life problems. To explain the consistency and authenticity of our model, we examine a comparative analysis with existing aggregation techniques.
机译:模糊集的概括集中的复杂模糊集提供了强大的数学框架,其成员度数是单位光盘中复数的形式。由T-NARM和T-Conorm的性质组成的平均操作员在复杂的模糊环境中具有重要意义。本文介绍了某些二次平均运算符,包括复杂的模糊加权二次平均,复杂的模糊有序加权二次平均,复杂模糊爱因斯坦加权二次分析和复杂的模糊爱因斯坦有序加权二次平均运算符。这些运营商用于研究周期性的许多不同问题。我们将这些模型应用于多属性决策问题和目标位置的无线检测。结论,我们可以通过汇总输出的排名来选择最佳意见,并检测目标的位置和方向。此外,我们通过数字示例描述这些模型,以检查其在现实生活中的有效性和重要性。为了解释我们模型的一致性和真实性,我们研究了现有聚合技术的比较分析。

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