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Relevant bibliographies by topics / Neutrosophic p-value

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Academic literature on the topic 'Neutrosophic p-value'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Neutrosophic p-value"

1

Liu, Ning, and Zengtai Gong. "Derivatives and indefinite integrals of single valued neutrosophic functions." AIMS Mathematics 9, no. 1 (2024): 391–411. http://dx.doi.org/10.3934/math.2024022.

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<abstract><p>With the continuous development of the fuzzy set theory, neutrosophic set theory can better solve uncertain, incomplete and inconsistent information. As a special subset of the neutrosophic set, the single-valued neutrosophic set has a significant advantage when the value expressing the degree of membership is a set of finite discrete numbers. Therefore, in this paper, we first discuss the change values of single-valued neutrosophic numbers when treating them as variables and classifying these change values with the help of basic operations. Second, the convergence of

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2

Florentin, Smarandache. "Plithogenic Set, an Extension of Crisp, Fuzzy, Intuitionistic Fuzzy, and Neutrosophic Sets - Revisited." Neutrosophic Sets and Systems 21 / 2018 (September 4, 2018): 153–66. https://doi.org/10.5281/zenodo.1408741.

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In this paper, we introduce the plithogenic set (as generalization of crisp, fuzzy, intuitionistic fuzzy, and neutrosoph-ic sets), which is a set whose elements are characterized by many attributes’ values. An attribute value <em>v</em> has a corresponding (fuzzy, intuitionistic fuzzy, or neutrosophic) degree of appurtenance d(<em>x,v</em>) of the element <em>x</em>, to the set <em>P</em>, with respect to some given criteria. In order to obtain a better accuracy for the plithogenic aggregation operators in the plithogenic set, and for a more exact inclusion (partial order), a (fuzzy, int

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3

Al-Hijjawi, Sumyyah, Abd Ghafur Ahmad, and Shawkat Alkhazaleh. "A generalized effective neurosophic soft set and its applications." AIMS Mathematics 18, no. 12 (2023): 29628–66. http://dx.doi.org/10.3934/math.20231517.

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<abstract><p>We introduce the concept of an effective neutrosophic soft set, which aims to capture the influence on three independent membership functions representing degrees of truth (T), indeterminacy (I) and falsity (F). We go further by presenting a generalization of the effective neutrosophic soft set, which includes the incorporation of a degree to signify the potential for an approximate value-set. This enhancement contributes to improved efficiency and realism in the concept. Notably, this innovative approach leverages the strengths of both the generalized neutrosophic set

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4

Khattak, Arif Mehmood, Arslan M, Abdallah Shihadeh, et al. "A Breakthrough Approach to Quadri-Partitioned Neutrosophic SoftTopological Spaces." European Journal of Pure and Applied Mathematics 18, no. 2 (2025): 5845. https://doi.org/10.29020/nybg.ejpam.v18i2.5845.

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Neutrosophic set theory, an advanced framework for error reduction, extends fuzzy sets (FSs) and intuitionistic fuzzy sets (IFSs). It enhances effectiveness by refining the definition of indeterminacy, a concept for situations where values cannot be precisely determined. In this paper, we propose dividing indeterminacy into two components based on membership: relative truth (RT), which leans toward truth, and relative falsehood (RF), which leans toward falsehood. This approach improves accuracy by considering, relative truth and relative falsehood, rather than a single indeterminate value. The

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5

Jeni Seles Martina, D., and G. Deepa. "Some algebraic properties on rough neutrosophic matrix and its application to multi-criteria decision-making." AIMS Mathematics 8, no. 10 (2023): 24132–52. http://dx.doi.org/10.3934/math.20231230.

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<abstract><p>Rough set theory is a method of information processing for database systems. The neutrosophic matrix is a generalization of the fuzzy matrix, especially in handling indeterminacy situations. The concept of matrix theory and its energy in the neutrosophic environment help to determine the value of the uncertain matrix. In this paper, we correlate the rough set theory with the neutrosophic matrix theory to introduce the rough neutrosophic matrix (RNM). In this structure, lower and upper approximation neutrosophic matrices are used to deal with uncertain situations. We de

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6

Zhou, Xiaoyan, Mingwei Lin, and Weiwei Wang. "Statistical correlation coefficients for single-valued neutrosophic sets and their applications in medical diagnosis." AIMS Mathematics 8, no. 7 (2023): 16340–59. http://dx.doi.org/10.3934/math.2023837.

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<abstract> <p>The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information. The correlation coefficient of SVNSs acts as an important measure in the single-valued neutrosophic set theory and it has been applied in various fields, such as the pattern recognition, medical diagnosis, decision-making and also clustering analysis. To alleviate the weakness of the existing correlation coefficients, a novel statistical correlation coefficient is put forward to measure the degree of correlation betwee

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7

Eunsuk, Yang, Hwan Roh Eun, and Bae Jun Young. "Ordered subalgebras of ordered BCI-algebras based on the MBJ-neutrosophic structure." January 19, 2024. https://doi.org/10.5281/zenodo.10531712.

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The neutrosophic set consists of three fuzzy sets called true membership function, false membership function and indeterminate membership function. MBJ-neutrosophic structure is a structure constructed using interval-valued fuzzy set instead of indeterminate membership function in the neutrosophicset. In general, the indeterminate part appears in a wide range. So instead of treating the indeterminate part as a single value, it is treated as an interval value, allowing a much more comprehensive processing. In an attempt to apply the MBJ-neutrosophic structure to ordered BCI-algebras, the notion

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8

Patty, Elizabeth Del Pozo Franco, Javier Peñafiel Palacio Alex, and Alexis Cruz Piza Iyo. "Neutrosophic Neutrosophic Hypothesis to validate a Reform Project to Article 87 of the General Organic Code of Processes of Ecuador." October 23, 2020. https://doi.org/10.5281/zenodo.4122368.

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Abstract. Based on the fact that, according to the legislation in force in Ecuador, the appearance at hearings is mandatory for all those who intervene in a case to such an extent that their non-attendance is sanctioned in one case and abandoned in another, without taking into account that this absence may have been due to a fortuitous event or force majeure. The present investigation is focused on validating a project to reform Article 87 of the General Organic Code of Processes focused on making it possible to justify the defendant's absence. For the validation, a Neutrosophic Hypothesis

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9

Henry, Garrett. "New Ideas In Cancer's Recognition And Neutrosophic SuperHyperGraph By Tree-Decomposition As Hyper Forward On Super Returns." March 6, 2023. https://doi.org/10.13140/RG.2.2.31147.52003.

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“#178 Article” Henry Garrett, “New Ideas In Cancer's Recognition And Neutrosophic SuperHyperGraph By Tree-Decomposition As Hyper Forward On Super Returns”, ResearchGate 2023, (doi: 10.13140/RG.2.2.31147.52003). @ResearchGate: https://www.researchgate.net/publication/369029627 @Scribd: https://www.scribd.com/document/- @ZENODO_ORG: https://zenodo.org/record/- @academia: https://www.academia.edu/-   \documentclass[10pt,letterpaper]{article} \usepackage[top=0.85in,left=2.79in,footskip=0.79in,marginparwidth=2in]{geometry} \usepackage{amsmath, amsthm, amscd, amsfont

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10

Henry, Garrett. "New Ideas In Cancer's Recognition And Neutrosophic SuperHyperGraph By Vertex-Connectivity As Hyper Leak On Super Structure." March 7, 2023. https://doi.org/10.13140/RG.2.2.35105.89447.

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“#180 Article” Henry Garrett, “New Ideas In Cancer's Recognition And Neutrosophic SuperHyperGraph By Vertex-Connectivity As Hyper Leak On Super Structure”, ResearchGate 2023, (doi: 10.13140/RG.2.2.35105.89447). @ResearchGate: https://www.researchgate.net/publication/369051049 @Scribd: https://www.scribd.com/document/- @ZENODO_ORG: https://zenodo.org/record/- @academia: https://www.academia.edu/-   -- \documentclass[10pt,letterpaper]{article} \usepackage[top=0.85in,left=2.79in,footskip=0.79in,marginparwidth=2in]{geometry} \usepackage{amsmath, amsthm, amscd, amsf

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