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用于解决多属性决策问题的具有梯形模糊数的广义有序加权调和平均算子

Generalized ordered weighted harmonic averaging operator with trapezoidal neutrosophic numbers for solving MADM problems.

作者信息

Paulraj S, Tamilarasi G

机构信息

Department of Mathematics, College of Engineering Guindy, Anna University, Chennai, Tamil Nadu 600025 India.

出版信息

J Ambient Intell Humaniz Comput. 2022;13(8):4089-4102. doi: 10.1007/s12652-021-03509-x. Epub 2021 Oct 11.

Abstract

Harmonic mean is suitable for algebraic calculation and other mathematical treatments and also suitable for directly aggregated negative indicators. In many different situations, harmonic mean improves the flexibility. In this paper, we develop some new aggregation operators under neutrosophic environment and apply with multi attribute decision making (MADM) problems. First, we provide a Single valued trapezoidal neutrosophic Generalized ordered weighted harmonic averaging(SVTNGOWHA) operator which is the extension of single valued trapezoidal neutrosophic ordered weighted harmonic averaging (SVTNOWHA) operator. To fix the operators on the mount, we have tested these methods in few illustrative examples, and the results have been presented.

摘要

调和平均数适用于代数计算和其他数学处理,也适用于直接汇总负指标。在许多不同情况下,调和平均数提高了灵活性。在本文中,我们在中智环境下开发了一些新的聚合算子,并将其应用于多属性决策(MADM)问题。首先,我们提供了一种单值梯形中智广义有序加权调和平均(SVTNGOWHA)算子,它是单值梯形中智有序加权调和平均(SVTNOWHA)算子的扩展。为了在实际中应用这些算子,我们在几个示例中测试了这些方法,并给出了结果。

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