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

Authors :
Haque TS
Chakraborty A
Mondal SP
Alam S
Source :
Applied intelligence (Dordrecht, Netherlands) [Appl Intell (Dordr)] 2022; Vol. 52 (4), pp. 4398-4417. Date of Electronic Publication: 2021 Jul 22.
Publication Year :
2022

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 μ is a positive real number. Here, logarithmic trapezoidal neutrosophic weighted arithmetic aggregation ( L <subscript> a r m </subscript> ) operator and logarithmic trapezoidal neutrosophic weighted geometric aggregation ( L <subscript> g e o </subscript> ) 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.<br /> (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.)

Details

Language :
English
ISSN :
1573-7497
Volume :
52
Issue :
4
Database :
MEDLINE
Journal :
Applied intelligence (Dordrecht, Netherlands)
Publication Type :
Academic Journal
Accession number :
34764611
Full Text :
https://doi.org/10.1007/s10489-021-02583-0