Results 31 to 40 of about 74 (68)
Journal of Mathematics, Volume 2025, Issue 1, 2025.In this paper, we generalize the regularity to a symbolic 2‐plithogenic structure. We present the structure and elementary properties of regular symbolic 2‐plithogenic rings. We also found that the classical regular ring R is equivalent to the symbolic 2‐plithogenic ring 2 − SPR. In addition, we obtained several important results. The most important of
Murhaf Riad Alabdullah, Pramita Mishra
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On The Dual Symbolic 2-Plithogenic Numbers
Neutrosophic Sets and Systems, 2023 The objective of this paper is to combine dual numbers with symbolic 2-plithogenic numbers in one algebraic structure called dual symbolic 2-plithogenic real numbers. Also, many elementary properties of the suggested system such as inverses and idempotents will be handled by many related theorems and examples.
Khadija Ben Othman +2 more
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Journal of Food Quality, Volume 2024, Issue 1, 2024.Celiac disease is an autoimmune‐mediated systemic disorder that develops in those who are genetically predisposed, the management of which is limited to a lifelong gluten‐free diet. Gluten‐free foods contain fewer proteins, dietary fiber, and minerals than their gluten counterparts.
Altan Sahan +2 more
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Domination in Plithogenic product fuzzy graphs
Journal of Applied Mathematics, Statistics and Informatics, 2023 Abstract The notion of Plithogenic vertex domination and Plithogenic edge domination in Plithogenic product fuzzy graphs (PPFGs) has been newly introduced and discussed based on P-weights of P-vertices and P-edges respectively with properties, results and examples.
Bharathi, T., Leo, S., Davvaz, Bijan
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Plithogenic Directed Offset and Plithogenic MultiDirected Offsets
Abstract. For more than half a century, concepts such as fuzzy sets have been studied to handle uncertaintyin real-world systems. Uncertainty-modeling frameworks—such as fuzzy sets, intuitionistic fuzzy sets, hyperfuzzysets, neutrosophic sets, hyperneutrosophic sets, soft sets, rough sets, and plithogenic sets—have beenwidely adopted to represent and ...
Fujita, Takaaki +7 more
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Neutrosophic Sets and Systems, 2023 To measure the level of accuracy of crisp, fuzzy, intuitionistic fuzzy sets and neutrosophic set various mathematical tools are available. The generalization of these four sets is Plithogenic set. In this paper, for the first time we introduce the concept of plithogenic cubic vague set and its generalization, plithogenic fuzzy cubic vague set ...
S. Anitha, A. Francina Shalini
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Introduction to Plithogenic Logic
, 2021 A Plithogenic Logical proposition P is a proposition that is characterized by many degrees of truth-values with respect to many corresponding attribute-values (or random variables) that characterize P. Each degree of truth-value may be classical, fuzzy, intuitionistic fuzzy, neutrosophic, or other fuzzy extension type logic.
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The indefinite symbolic plithogenic integrals
Neutrosophic Sets and Systems, 2023 In order to calculate the indefinite integrals of the symbolic plithogenic field, we used the substitution method, which was provided in this article. We also established a theorem that allowed us to locate the majority of the integrals for the symbolic plithogenic functions, in addition to the condition that must be met for the integration operation ...
Yaser Ahmad Alhasan +2 more
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Introduction to Plithogenic Hypersoft Subgroup
Neutrosophic Sets and Systems, 2020 In this article, some essential aspects of plithogenic hypersoft algebraic structures have been analyzed. Here the notions of plithogenic hypersoft subgroups i.e. plithogenic fuzzy hypersoft subgroup, plithogenic intuitionistic fuzzy hypersoft subgroup, plithogenic neutrosophic hypersoft subgroup have been introduced and studied. For doing that we have
Sudipta Gayen +5 more
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Neutrosophic Sets and Systems, 2020 In 1995, Smarandache initiated the theory of neutrosophic set as new mathematical tool for handling problems involving imprecise, indeterminacy, and inconsistent data. Molodtsov initiated the theory of soft set as a new mathematical tool for dealing with uncertainties, which traditional mathematical tools cannot handle.
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