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一种用于梯形中立模糊数的新颖对数运算定律和聚合算子,采用多准则群体决策方法来确定最有害病毒。

A novel logarithmic operational law and aggregation operators for trapezoidal neutrosophic number with MCGDM skill to determine most harmful virus.

作者信息

Haque Tipu Sultan, Chakraborty Avishek, Mondal Sankar Prasad, Alam Shariful

机构信息

Department of Mathematics, Indian Institute of Engineering Science and Technology, Howrah, Shibpur India.

Department of Basic Science, Narula Institute of Technology, Agarpara Kolkata, 700109 India.

出版信息

Appl Intell (Dordr). 2022;52(4):4398-4417. doi: 10.1007/s10489-021-02583-0. Epub 2021 Jul 22.

Abstract

In the current era, the theory of vagueness and multi-criteria group decision making (MCGDM) techniques are extensively applied by the researchers in disjunctive fields like recruitment policies, financial investment, design of the complex circuit, clinical diagnosis of disease, material management, etc. Recently, trapezoidal neutrosophic number (TNN) draws a major awareness to the researchers as it plays an essential role to grab the vagueness and uncertainty of daily life problems. In this article, we have focused, derived and established new logarithmic operational laws of trapezoidal neutrosophic number (TNN) where the logarithmic base is a positive real number. Here, logarithmic trapezoidal neutrosophic weighted arithmetic aggregation ( ) operator and logarithmic trapezoidal neutrosophic weighted geometric aggregation ( ) operator have been introduced using the logarithmic operational law. Furthermore, a new MCGDM approach is being demonstrated with the help of logarithmic operational law and aggregation operators, which has been successfully deployed to solve numerical problems. We have shown the stability and reliability of the proposed technique through sensitivity analysis. Finally, a comparative analysis has been presented to legitimize the rationality and efficiency of our proposed technique with the existing methods.

摘要

在当今时代,模糊理论和多准则群体决策(MCGDM)技术被研究人员广泛应用于招聘政策、金融投资、复杂电路设计、疾病临床诊断、物资管理等不同领域。最近,梯形中智数(TNN)引起了研究人员的主要关注,因为它在把握日常生活问题的模糊性和不确定性方面起着至关重要的作用。在本文中,我们聚焦、推导并建立了以正实数为对数底数的梯形中智数(TNN)的新对数运算律。在此,利用对数运算律引入了对数梯形中智数加权算术聚合( )算子和对数梯形中智数加权几何聚合( )算子。此外,借助对数运算律和聚合算子展示了一种新的MCGDM方法,该方法已成功用于解决数值问题。我们通过敏感性分析展示了所提技术的稳定性和可靠性。最后,进行了对比分析,以证明我们所提技术相对于现有方法的合理性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdc4/8296835/fd3563bcf7fb/10489_2021_2583_Fig1_HTML.jpg

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