Modeling Bitcoin Price Dynamics Using a Fractional  Maxwell-Weibull Copula Distribution

Alshaikh A.

doi:https://doi.org/10.54216/IJNS.260427

International Journal of Neutrosophic Science | 2026

A Neutrosophic Framework for Multilevel Corruption Assessment in Central Asian Societies

We introduce a neutrosophic framework to assess corruption across micro, meso, and macro levels and illustrate it with a public, fully synthetic dataset covering five Central Asian societies (2020–2025). The framework models the proposition “High Corruption” with three independent degrees: Truth (T ), Indeterminacy (I), and Falsity (F), which need not sum to one. We propose a summary index—the Neutrosophic Evidence Risk Index (NERI)—that couples evidence for and against high corruption with indeterminacy. Empirically, we document three stylized patterns in the synthetic data: (i) a moderate decline in country-level NERI over time for most countries; (ii) a negative association between region-year e-service adoption and bribe solicitation; and (iii) a negative association between digital government capacity and T at the country-year level. For example, the average bribe-solicitation rate is 0.047 overall, 0.198 without e-services (95% CI 0.175–0.220) vs. 0.019 with e-services (95% CI 0.015–0.022), implying a risk difference of -0.179 and a relative risk of 0.094.

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Samandarboy Sulaymanov mail -

Gafurov Ubaydullo Vakhabovich mail

link https://doi.org/10.54216/IJNS.270238

Volume & Issue

Vol. Volume 27 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2025

Evaluating Priorities in the Implementation of Microcredentials in Latin American Universities through the Hierarchical Analytical Process for Educational Flexibility

This paper responds to the problem of establishing criteria priority for microcredential implementation in Latin American universities, a developing topic with great momentum and the need to professionalize traditional learning models. Amid rapid digital and labor developments, microcredentials emerge as an efficient way of certifying targeted skills and fostering adaptability to market demand. Still, implementation in higher education lacks a clear pathway of systematic substantiation. The state-of-the-art demonstrates that few mixed-method studies have attempted to prioritize institutional, pedagogical, and technological aspects of this endeavor. This paper applies the Analytic Hierarchy Process (AHP) to a criterion for criteria relative assessment as a method for qualitative and quantitative study. This approach assesses relative importance between seemingly equal criteria—digital infrastructure, teacher training, curriculum relevance, and external validity, for example—for better implementation within higher education systems. Results assess teacher training and platform interoperability as the two most important criteria for successful microcredential implementation. This study is relevant theoretically for multicriteria approaches to the assessment of learning flexibility and practically speaking, supports university administrative decisions for more adaptable, equity-driven and sustainable learning options.

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Humberto León Flores mail -

Claudio Ruff Escobar mail -

Natalia Daries Ramón mail

link https://doi.org/10.54216/IJNS.260424

Volume & Issue

Vol. Volume 26 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2025

Modeling Internal Communication in Multicultural Organizations using Neutrosophic Plithogenic Logic

In an increasingly multicultural world, workforces become more diverse, and the challenge of internal communications exacerbates. What one group deems clear communication can easily be reinterpreted, countered or found invalid by another group valuing different cultural mores, norms, and expectations. As these issues grow, not only does organizational coherence suffer, but also strategic impact potential fails as globalized realities emerge. There becomes a need for a model that successfully implements the nuance and indeterminacy of such communicative interactions. While models of intercultural communications exist, they often operate on a binary method of understanding that fails to acknowledge the simultaneous presence of varying levels of truth, indeterminacy, and untruths. This is where neutrosophic plitogenic logic intervenes as the advanced form through which these properties can be modeled to suggest cognitive/emotional/symbolic determination as a single potentialized system of assessment. Thus, the challenge emerges to neutralize indeterminacy by fluidly responding to the communicative elements relative to what is present at any given moment over time. Neutrosophic Plitogenic Logic emerges as a viable interdisciplinary approach to understanding internal communication by theoretical and practical means - using epistemology through organizational studies fields and management feasibility - as it successfully presents the shifting and multivalent form of such a communicative process within increasingly multicultural dynamics when existing reconciled methods fail. This contribution is theoretical - as it creates a tool for fields of study to manage structural ambiguity - and practical - for management purposes - as it fosters a model for inclusion in resilient, contextually viable messaging design.

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Karla Melissa Ruiz Quezada mail -

Juan Roberto Pereira Salcedo mail -

Ronald Ricky Alcívar Cabada mail -

Pedro Manuel García Arias mail -

Edison Luis Cruz Navarrete mail

link https://doi.org/10.54216/IJNS.260425

Volume & Issue

Vol. Volume 26 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2025

Modeling Ambiguity in AI-Enhanced Learning: A Neutrosophic Approach to Stance Detection and Causal Evaluation

This work presents a neutrosophic stance detection model to bridge computational assessment and logic of indeterminacy in artificially intelligent (AI)-mediated learning and its outcomes. Utilizing the BART-large-MNLI model, a causal assessment was made of five hypotheses stemming from AI-supported learning between teacher-student relationships. These stances were then transformed into refined neutrosophic values (truth (T), partial support (P_S), indeterminacy (I), partial opposition (P_O) and falsity (F)). Ultimately, findings suggest that partial support is the most prevalent stance applied to any of the hypotheses, revealing that AI is, largely, a boon to education. However, this valence is tempered by indeterminacy among axes as well as stance magnitude. The largest partial support in rank order came from personalized education and access to AI tutors, while the most importance was given to opposition of relying on AI as support and replacement AI learning. Such findings confirm neutrosophic stance analysis and causal graph modeling as increasingly successful for applying measurable patterns to epistemically ambiguous fields. The neutrosophic causal graph integrates the above findings with a visualization of proposed dynamics between each vertex based on both quantitative patterns and epistemic uncertainty trends. The current research holds implications for educational theory, policy and instructional design integrity in 21st century learning. Uncertainty became a tangible concept; instead of devaluing AI in the classroom, it must be present as an enhancing supplemental tool, never replacement, for ethical considerations and equitable access. The potential for neutrosophic to transform apparent truths that are at times contradictory is confirmed through the human-machine interactive learning process, with subsequent suggestions for future research into AI-mediated education's causal relationships and decision-making potential.

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Oscar José Alejo Machado mail -

Adriana María Estupiñán Sera mail -

Maikel Y. Leyva Vazquez mail -

Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.260426

Volume & Issue

Vol. Volume 26 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2025

Neutrosophic–Plithogenic IADOV for Capturing Subjective Meaning in Qualitative Research

The research problem of this endeavor was how to comprehend subjective meanings based upon qualitative research—a uniform methodological concern of the social sciences for phenomena perpetually occurring in ever-changing environments. The significance of the study is based upon a methodological necessity that transcends natural human capability to engage what it means to be "uncertain" now that so much social reality has been rendered tainted, in addition to cultural and contextual amalgamation. Nonsensical articles provide one form of understanding but fail to equip uncertainty—acknowledgement of where something can go one way or the other, or multiple—and multivalent perspectives ultimately render ineffective opportunities for researchers to adopt a quantifiable, absolute reality. Therefore, this endeavor applies the Iadov Plithogenic Neutrosophic approach, compounded of plithogenic logic with neutrosophic meaning to successfully navigate qualitative research with high uncertainty. Ultimately, findings support that this approach empowers researchers to remove layers and find meaning in more original and texture-based fashions than the traditional A/B/C option. Ultimately, this work contributes theoretically to qualitative researches with an integrative new approach to render subjectivity, while practically providing those who want to understand a complicated world, the works to be effective. This endeavor illustrates that the most effective flexible approach to render meaning knowledge is the only way to go when the undertaking exists in comprehensive arenas.

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Carmen Marina Méndez Cabrit mail -

Josía Jeseff Isea Argüelles mail -

Danny Mauricio Sandoval Malquín mail -

Roberth Alexander Anamá Tiracá mail

link https://doi.org/10.54216/IJNS.260328

Volume & Issue

Vol. Volume 26 / Iss. Issue 3

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International Journal of Neutrosophic Science | 2025

Classification of Patients with FLAP according to their Etiopathogenic Risk Profile using Plithogenic fuzzy Soft Sets

The purpose of the study was to implement a patient classification for cleft lip and palate (CLP) patients according to their overall etiopathogenic risk profile given the multifactorial yet uncertain etiology of the disorder. To do this, a novel approach was made based on Plitogenic Fuzzy Soft Set Theory, which accommodates the simultaneous inexactness of clinically and epidemiologically derived information, ambiguous relationships of risk factors and indeterminacy of absent or conflicting information. A series of etiopathogenic parameters (genetic, environmental, and behavioral) were proposed as attributes and a set of plitogenic membership functions was used to assess each patient. Major findings enabled the classification of patients into certain risk levels (e.g. , high genetic risk, environmental dominance with less caution, mixed risk but dominantly high indeterminacy) and reveal factor composition patterns that would otherwise be invisible to classical statistical analyses. It was concluded that this model provides a superior clinical decision support system that is personalized since it quantifies the uncertainty of FLAP's etiology for more accurate risk stratification and preventative or early intervention planning more applicable to the complicated reality of all patients.

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Verónica Alicia Vega Martínez mail -

Danna Carolina Oliveros Acosta mail -

Patricia Alexandra Guajan León mail

link https://doi.org/10.54216/IJNS.260329

Volume & Issue

Vol. Volume 26 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

Modeling Legal Integrity Using Plithogenic n-SuperHyperGraphs: A Multidimensional Representation of Moral Coherence in Dworkin's Theory

This project aims to concretize Ronald Dworkin's theory of legal integrity via Plithogenic n-SuperHyperGraphs. Therefore it investigates how such mathematical entities metaphorically and multidimensionally formulate moral coherence in legal interpretation. Using a mixed-method approach, this work will assess documents through a documentary assessment of Dworkin's written works (Law’s Empire and Taking Rights Seriously) to formulate a Plithogenic n-SuperHyperGraph of a case study featuring n-dimensional nodes as moral principles, moral assertions, and past decisions with hyperedges symbolizing the relationship between them generated by degrees of truth, falsity, or indeterminacy. Tools of graph visualization and neutrosophic computing will provide the legal assessment of characterization for coherence. The results will discuss whether the model intentionally visualizes the connections among the principles and how it assessed which characterizations would make the law most morally coherent under Dworkin's theory while acknowledging the indeterminacy in certain complicated cases. Thus, this study seeks to find correlations between which nodes function as the primary principles consistent with Dworkin's metaphor of the law's "chain." Ultimately, this research intends to present Plithogenic n-SuperHyperGraphs as a viable application to formally express Dworkin's theory for the sake of more moral legal determinations applicable to legal education or judicial assistive software, although generalizability will require cross-jurisdicDworkin; Legal Integrity; N- Superhypergraphs; Moral Coherence; Judicial Interpretation; Neutrosophic; Plithogenictional applications of the model.

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Carmen Marina Méndez Cabrita mail -

Josía Jeseff Isea Argüelles mail -

Luis Andrés Crespo Berti mail -

María Elena Infante Miranda mail

link https://doi.org/10.54216/IJNS.260330

Volume & Issue

Vol. Volume 26 / Iss. Issue 3

Details open_in_new

Fusion: Practice and Applications | 2025

The Fusion of AI and Group Dynamics: A Case Study of IMC Krems University, Tashkent

This study investigates the fusion of artificial intelligence (AI) and group dynamics by examining undergraduate student perceptions (n=112) of AI tools (e.g., ChatGPT, Grok, Gemini, Grammarly, etc.) in collaborative group work at IMC Krems of Applied Sciences University, Tashkent campus. By using surveys, thematic analysis, it explores AI impact on communication, equity, and task management in culturally diverse, multilingual settings. Results show majority students regularly use AI tools for idea generation, feedback, language support. Qualitative analysis reveals four themes: enhanced efficiency, improved communication support and concerns about over-reliance and reduced interpersonal interaction. While AI serves as cognitive and emotional scaffolding but requires mindful, ethical integration to maximize benefits. The research offers novel insights for non-Western multilingual contexts and practical guidance for educators implementing human-AI hybrid collaboration.

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Khodjaeva Dildora mail -

Ergashboyeva Farangiz mail -

Khodjaeva Elnoz mail

link https://doi.org/10.54216/FPA.200211

Volume & Issue

Vol. Volume 20 / Iss. Issue 2

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Journal of Intelligent Systems and Internet of Things | 2025

Zero Watermarking Approach Based on Machine Learning and Cryptographic Protocol

With the rapid increase of digital content distribution, video watermarking ownership has become an essential tool for detecting certification and tampering. This paper proposes a novel 3D video Zero-Watermarking Framework that integrates machine learning, cryptographic protocol, and entropy-based keyframe selection to ensure strength, inconvenience, and safety. The method operates at two levels: client-side watermark generation and server-side certification. On the client side, the keyframe is extracted using entropy analysis, features are obtained with different 3D Convolutional Neural Network (S3D-CNN), and adaptive noise is generated through the generative adversarial network (GANS). These components are paired with XOR to create a binary watermark key, which undergoes NIST random tests before being safely sent with the original video. On the server, Feige-Fiat-Shamir (FFS) certifies the watermark without highlighting the sensitive information of the zero-knowledge protocol. The system is evaluated against general attacks such as Gaussian noise, JPEG compression, staining, salt-and-pepper, rotation, and scaling. Performance metrics (PSNR, SSIM, NCC, and BER) with FFS protocols, showing 98.7% accuracy in verifying watermark integrity, display strong strength and inevitability. Experimental results, supporting safe and decentralized certification, confirm the effectiveness of the framework proposed to maintain watermarks under various attacks. Future work will focus on integrating blockchain technology and increasing the GAN model for real-world deployment.

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Dalal Thair Mahjoub mail -

Hala Bahjat Abdulwahab mail

link https://doi.org/10.54216/JISIoT.170229

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

Modeling Bitcoin Price Dynamics Using a Fractional Maxwell-Weibull Copula Distribution

This paper presents the Fractional Maxwell-Weibull Copula (FMWC) distribution to deal with the heavy tails, extended memory, and nonlinear dependence of price returns of Bitcoins, as the existing financial models face limitations in this aspect. The FMWC provides a flexible model that allows incorporating fractional Weibull distributions to capture persistent autocorrelation, Maxwell components to model significant price changes, and a Student-t copula to capture multivariate dependencies to discuss the volatile returns of Bitcoin. The FMWC was applied to historical Bitcoin data between January 2020 and May 2025 and showed better results than other models, such as Weibull, GARCH-t, and Maxwell-Log Logistic, with an MAE of 0.034374, RMSE of 0.0335, and log-likelihood of 4200.0. Its risk measures (VaR 95% = -0.07983, CVaR 95% = -0.10882) improve tail risk estimation, which is important in risk measurement and portfolio management. Robustness tests also validate its performance over periods and proper handling of outliers. Nevertheless, the FMWC is an excellent tool, despite its computational complexity issues, and can be used by investors, traders, and regulators. Further studies on the computational efficiencies and applications to other cryptocurrencies are required to increase their application in dynamic financial markets.

groups

Alshaikh A. Shokeralla mail

link https://doi.org/10.54216/IJNS.260427

Volume & Issue

Vol. Volume 26 / Iss. Issue 4

Details open_in_new