Aczel-Alsina Aggregation Operators on Spherical Fuzzy Rough Set and Their Application Section of Solar Panel
Journal Title: Journal of Operational and Strategic Analytics - Year 2024, Vol 2, Issue 1
Abstract
The Spherical fuzzy rough set (SFRS), which is based on approximations and is handled in this work, is a key idea for handling uncertainty when data is taken from real-world situations. The most adaptable operational laws based on the parameter for fuzzy frameworks are the Aczel-Alsina t-norm (AATN) and Aczel-Alsina t-conorm (AATCN), which are crucial for data interpolation. In this paper, operators based on AATN and AATCN are developed: spherical fuzzy rough Aczel-Alsina weighted geometric (SFRAAWG), spherical fuzzy rough Aczel-Alsina ordered weighted geometric (SFRAAOWG), and spherical fuzzy rough Aczel-Alsina hybrid weighted geometric (SFRAAHWG). A few fundamental properties of the generated SFRAAWG, SFRAAOWG, and SFRAAHWG operators are defined and given examples. The multi-criteria decision-making (MADM) problem is applied to the developed SFRAAWG operator. Additionally, the sensitivity of the SFRAAG operator is examined. The developed AOs are compared to a few pre-existing AOs and their significance is evaluated.
Authors and Affiliations
Mehwish Sarfraz
Keywords
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- EP ID EP732868
- DOI https://doi.org/10.56578/josa020103
- Views 80
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Aczel-Alsina Aggregation Operators on Spherical Fuzzy Rough Set and Their Application Section of Solar Panel
The Spherical fuzzy rough set (SFRS), which is based on approximations and is handled in this work, is a key idea for handling uncertainty when data is taken from real-world situations. The most adaptable operational law...