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Knowledge and Information Systems

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05.05.2023 | Regular Paper

A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment

verfasst von: Tipu Sultan Haque, Avishek Chakraborty, Shariful Alam

Erschienen in: Knowledge and Information Systems | Ausgabe 9/2023

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Abstract

Generalized spherical fuzzy number (GSFN) is an extension of spherical fuzzy number (SFN) which deals the uncertainties involved in the real-life problems in much better way than other fuzzy numbers. So far, some fundamental operational laws of GSFNs are characterized, yet excluding the logarithmic operation. In this manuscript, we have defined and discussed various algebraic properties of logarithmic operational law (LOL) for GSFN where the logarithmic base \(\delta \) is a positive real number. Moreover, we have developed weighted averaging and weighted geometric aggregation operators and utilize these aggregation operators to initiate a multi-criteria group decision making (MCGDM) technique in the generalized spherical fuzzy (GSF) environment, which has been used to solve a problem of cloud service management. We have indicated the utility and reliability of the proposed MCGDM technique through sensitivity analysis. Finally, a comparative study has been presented with the help of a real data set to justify the rationality and efficiency of our proposed method with the existing methods.

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Titel: A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment
verfasst von: Tipu Sultan Haque
Avishek Chakraborty
Shariful Alam
Publikationsdatum: 05.05.2023
Verlag: Springer London
Erschienen in: Knowledge and Information Systems / Ausgabe 9/2023
Print ISSN: 0219-1377
Elektronische ISSN: 0219-3116
DOI: https://doi.org/10.1007/s10115-023-01873-y

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