Khalil, S, Hassan, A, Alaskar, H, Khan, W and Hussain, A (2021) Fuzzy Logical Algebra and Study of the Effectiveness of Medications for COVID-19. Mathematics, 9 (22).

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Abstract

A fuzzy logical algebra has diverse applications in various domains such as engineering, economics, environment, medicine, and so on. However, the existing techniques in algebra do not apply to delta-algebra. Therefore, the purpose of this paper was to investigate new types of cubic soft algebras and study their applications, the representation of cubic soft sets with δ-algebras, and new types of cubic soft algebras, such as cubic soft δ-subalgebra based on the parameter λ (λ-CSδ-SA) and cubic soft δ-subalgebra (CSδ-SA) over η. This study explains why the P-union is not really a soft cubic δ-subalgebra of two soft cubic δ-subalgebras. We also reveal that any R/P-cubic soft subsets of (CSδ-SA) is not necessarily (CSδ-SA). Furthermore, we present the required conditions to prove that the R-union of two members is (CSδ-SA) if each one of them is (CSδ-SA). To illustrate our assumptions, the proposed (CSδ-SA) is applied to study the effectiveness of medications for COVID-19 using the python program.

Item Type:	Article
Uncontrolled Keywords:	Science & Technology; Physical Sciences; Mathematics; fuzzy soft sets; COVID-19; python program; logical algebra; cubic sets; P/R-union; d-algebra; SOFT SET-THEORY
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science & Mathematics
Publisher:	MDPI
SWORD Depositor:	A Symplectic
Date Deposited:	24 Nov 2022 11:50
Last Modified:	24 Nov 2022 12:00
DOI or ID number:	10.3390/math9222838
URI:	https://researchonline.ljmu.ac.uk/id/eprint/18193

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