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首页> 外文期刊>Neural computing & applications >Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators
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Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators

机译:基于单值中使用性语言学Maclaurin对称均衡器的多标准决策方法

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摘要

This paper investigates a wide range of generalized Maclaurin symmetric mean (MSM) aggregation operators, such as the generalized arithmetic MSM and the generalized geometric MSM, whose predominant characteristic is capturing the interrelationships among multi-input arguments. The single-valued neutrosophic linguistic set plays an essential role in decision making, which can serve as an extension of either a linguistic term set or a single-valued neutrosophic set. This study centers on multi-criteria decision-making (MCDM) issues in which criteria are weighed differently and criteria values are expressed as single-valued neutrosophic linguistic numbers. Based on this foundation, we extend a series of MSM aggregation techniques under single-valued neutrosophic linguistic environments and propose procedures for solving MCDM problems. We also explore the influence of parameters on aggregation results. Finally, we provide a practical example and conduct a comparison analysis between the proposed approach and other existing methods in order to verify the proposed approach and demonstrate its validity.
机译:本文调查了广泛的广义Maclaurin对称均值(MSM)聚合运算符,例如广义算术MSM和广义几何MSM,其主要特征在于捕获多输入参数之间的相互关系。单值中性学语言集合在决策中起着重要作用,其可以用作语言术语集的延伸或单值中性学套装。该研究中心关于多标准决策(MCDM)问题,其中标准的称重不同,标准值表示为单值中性学语言数字。基于此基础,我们在单值中使用性语言环境下扩展了一系列MSM聚合技术,并提出了解决MCDM问题的程序。我们还探讨了参数对聚合结果的影响。最后,我们提供了一个实际的例子,并在所提出的方法和其他现有方法之间进行比较分析,以验证提出的方法并展示其有效性。

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