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MDPI, Mathematics, 22(9), p. 2838, 2021

DOI: 10.3390/math9222838

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Fuzzy Logical Algebra and Study of the Effectiveness of Medications for COVID-19

Journal article published in 2021 by Shuker Khalil ORCID, Ahmed Hassan, Haya Alaskar ORCID, Wasiq Khan ORCID, Abir Hussain ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.