Digital Commons Network^™

Iterative Neutrosophic Refinement For Reliable Tumor Segmentation In Brain Mri Images, Sofia Jennifer J, Kalaivani C, Saraswathi S

Neutrosophic Sets and Systems

No abstract provided.

The Hybrid Cocoso Decision Making Model With Interval Value Neutrosophic Set For Evaluation The Digital Maturity Of Fimrs: Evidence From Vietnam, Truong Thi Thuy Duong

Neutrosophic Sets and Systems

No abstract provided.

Fuzzy Neutrosophic Turiyam Sets Diagrammatic And Operational Analysis With Real World Applications, Poongothai Eswaran, Balaganesan Palanivelu, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

A Unified Framework Of Fuzzy Neutrosophic Supra Set , Turiyam Set For Advanced Medical Diagnosis, Poongothai Eswaran, Balaganesan Palanivelu, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Best Proximity Point Results In Neutrosophic Fuzzy Metric Space For Ciric Type Α-Ψ Proximal Contractive Mappings, Samriddhi Ghosh, Ramakant Bhardwaj, Purvee Bhardwaj, Sneha Khandait, Satyendra Narayan

Neutrosophic Sets and Systems

No abstract provided.

Decision-Making Under Deep Uncertainty: A Generalized Neutrosophic Fuzzy Assignment Model With Multi-Criteria Multi-Expert Evaluation, Priyanka U, Dr. V. Kamal Nasir

Neutrosophic Sets and Systems

No abstract provided.

Application Of New Neutrosophic Open Set Via Neutrosophic Topological Spaces, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo

Neutrosophic Sets and Systems

No abstract provided.

New Classes Of Δ − Β∗-Continuous Mappings In M-Polar Neutrosophic Topological Spaces, Shadia M. Noori, Asmaa G. Raoof, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo, Lorenzo Aff´E

Neutrosophic Sets and Systems

No abstract provided.

Bibliometric Study Of Neutrosophy As An Emerging Discipline, Miguel Cruz Ramírez, Osvaldo Jesús Rojas Velázquez, Elio H. Cables

Neutrosophic Sets and Systems

No abstract provided.

Δβ-Open Sets In Pythagorean Neutrosophic Nano Topological Spaces And Their Application Via Machine Learning, Mohanarao Navuluri, Shantha Lakshmi K

Neutrosophic Sets and Systems

No abstract provided.

Dealing With Missingness In Uncertain Data Via Neutrosophic Exponential Imputation: Climate Data Insights, Anoop Kumar, Vishal Kumar, Vrijesh Tripathi

Neutrosophic Sets and Systems

No abstract provided.

Breaking The Chains Of Probability: Neutrosophic Logic As A New Framework For Epistemic Uncertainty In Large Language Models, Maikel Yelandi Leyva-Vázquez, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Analysis Of (1,2,3,4)-Type Inverses In Neutrosophic Hyper Soft Rough Fuzzy Matrices, G. Punithavalli, K. Ramany

Neutrosophic Sets and Systems

No abstract provided.

Applied Neutrosophic Triplets In Ai Decision Systems: Introduction To An Ongoing Case Study Across Agentic, Swarm, Rag, And Pipeline Architectures, Jean-Sebastien Beaulieu

Neutrosophic Sets and Systems

No abstract provided.

Probabilistic And Neutrosophic Coefficient Conditions In Geometric Function Theory With Applications To Sound Denoising Associated With Mersenne Polynomials, Ibrahim Tunji Awolere, Abimbola Adeniyi Ayeni, Abiodun Tinuoye Oladipo

Neutrosophic Sets and Systems

No abstract provided.

Mathematics Education And Its Contributions To Attention Deficit Hyperactivity Disorder, Randy Zabaleta, Osvaldo Rojas, Beatriz Villarraga, Miguel Cruz, Diana Pérez

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophication As A General Framework For Regret Theory, Grey System Theory, And Three-Way Decision Models, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Real-World Implementation Of A Neutrosophic Logarithmic Estimator For Population Mean Estimation Under Stratified Random Sampling, Deep Shikha, Shakti Prasad, Deepak Majhi, Housila P. Singh

Neutrosophic Sets and Systems

No abstract provided.

Foundations Of Type-1 Neutrosophic Topological Modules, Hussain Wahish, Adel Al-Odhari, Abdulwahed Mhdi, Basheer Al-Refaei, Khaled Alhamadi

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Logic As A Framework For Managing Uncertainty In Artificial Intelligence, Conf. Univ. Dr. N. Grigorie Lăcrița, Craiova Craiova, Romania Romania

Neutrosophic Sets and Systems

No abstract provided.

On Operations Of Indetermsoft Sets, Savita Rathee, Diksha Goyal, Meenakshi Hooda, Ridam Girdhar, Savita Ahlawat

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 99,2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Augmented Reality In Fashion Retail: A Walmart Unlimited Study, Chloe A. Mcpherson

Apparel Merchandising and Product Development Undergraduate Honors Theses

As technology continues to evolve, augmented reality (AR) has become increasingly common within the retail and fashion industries. This study explored Gen Z consumers’ perceptions of immersive AR shopping experiences through Walmart Unlimited, an interactive digital shopping platform. The purpose of this research was to better understand how younger consumers respond to AR-enhanced shopping environments and whether these technologies influence attitudes toward convenience, engagement, and sustainability in retail.

A quantitative research design was used for this study. Participants completed the Walmart Unlimited shopping experience and then responded to a Qualtrics survey measuring areas such as immersion, satisfaction, ease of use, …

Decision Making For Large-Scale Problems Under Uncertainty And Conflict, Benjamin J. Hamlin

All Dissertations

Large-scale decision-making problems appear in many areas including long-range forecasting such as energy generation forecasting. Many such problems are subject to conflicting objectives and uncertain data, and can be modeled as linear optimization problems. We study novel theoretical results and algorithms for large-scale linear decision problems under conflict and uncertainty. First, we propose a parametric Benders decomposition algorithm for solving large-scale linear optimization problems with multiple objectives or deterministically uncertain objectives. Second, we extend the parametric Benders decomposition to a multi-stage setting, developing a parametric stochastic dual dynamic programming algorithm, which enables decision-making when conflicts and uncertainty have planning impacts …

Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput

Neutrosophic Systems with Applications

Predicting the stock market is never easy because it is influenced by many uncertain and constantly changing factors such as economic conditions, investor behaviour, and global events. Traditional models like the Crisp Markov Chain (CMC) try to predict market movements by using fixed probabilities for different states like bullish, bearish, or stagnant. However, real markets do not behave in such a strict way—they often move gradually between states, which these models fail to capture. To overcome this limitation, this study introduces a Fuzzy Markov Chain (FMC) model, where fuzzy logic is used to handle uncertainty and allow smoother transitions between …

Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

In era of advanced intelligent revolutions, the collaboration between intelligent technologies became imperative. For instance, integrating 6G communications with agentic artificial intelligence considered a catalyst to shift agriculture sector into optimized and intelligence sector. This integration resulted in transitioning the sector from static automation to autonomous, agent-based ecosystems. Accordingly, the efficiency roles for artificial intelligence agents (AIAs), deploying and selecting optimal AIA is important. Yet, selection process is still difficult because agricultural criteria are multifaceted and there are inherent environmental uncertainties. To address these challenges and bolster the selection process, this paper suggests a hybrid multi-criteria decision-making (MCDM) that bolstered …

An Improved Logarithmic Ratio-Product Type Estimator For Mean Modeling And Estimation Under Neutrosophic Uncertainty, Anchal Yadav, Mukesh Kumar

Neutrosophic Systems with Applications

In classical statistics, population mean estimation generally assumes precise and determinate data along with known auxiliary information. However, in real-world situations where observations are imprecise or expressed in interval form, such as temperature variations or financial market data, classical approaches become less effective. To address this limitation, neutrosophic statistics provide a more flexible framework for handling uncertainty and indeterminacy. This study proposes a neutrosophic logarithmic ratio-product type estimator for estimating the finite population mean using auxiliary information. The bias and mean squared error (MSE) of the proposed estimator are derived using a first-order approximation. Furthermore, performance evaluation is carried out …

Enhanced Parametric Approach For Solving Interval-Valued Trapezoidal Neutrosophic Linear Fractional Programming Problems, Hamiden Abd El- Wahed Khalifa H.A.Khalifa, Moodi Abdulrahman Abdullah Al-Rajeh, Sultan S. Alodhaibi

Neutrosophic Systems with Applications

Neutrosophic sets (NSs) generalize the classical versions, by providing a flexible framework capable of representing incomplete, inconsistent, and unclassified data that frequently arises in practical decision frameworks. In this study, a linear fractional programming (LFP) problem with uncertain parameters is investigated. All coefficients in the objective function (OF) as well as the left- and right-hand sides of the constraints are represented using fully trapezoidal neutrosophic numbers (NNs). By employing a suitable score function, the proposed neutrosophic LFP model is transformed into an equivalent scalar LFP problem. Subsequently, a parametric solution procedure is established to regulate the neutrosophic optimum solution. This …

Gauss Elimination Method For Solving The System Of Neutrosophic Linear Equations, Elsayed Badr, Shokry Nada, Saeed Ali, Aya Rabie

Neutrosophic Systems with Applications

This paper proposes a unified computational framework for solving linear systems under trapezoidal Neutrosophic uncertainty. The system is formulated as A( I )x = b( I ), where both the coefficient matrix and the right-hand side vector incorporate an indeterminacy parameter I, expressed as A( I ) = A₀ + IA₁ and b( I ) = b₀ + Ib₁. A decomposition strategy is developed to separate the model into deterministic and indeterminacy components, yielding a solution of the form x( I ) = x₀ + Ix₁. The deterministic component is obtained via …

Advancing Neutrosophic Topology Through Gamma Generalized Alpha Closed Sets, B. Kalaiselvi, K. Sivakumar, S. Chandrasekar, P. Kalarani, A. Kesavan

Neutrosophic Sets and Systems

This paper introduces a new class of Neutrosophic closed sets, termed Neutrosophic γ-generalized α-closed sets (Ne.(γGα)CS), together with their corresponding open sets (Ne.(γGα)OS), within the framework of Neutrosophic Topological Spaces (NTS). The study is motivated by limitations in existing classes of Neutrosophic closed sets, including α-closed, semi-closed, and γ-closed sets, which often lack sufficient flexibility for modeling hybrid structures characterized by partial membership, indeterminacy, and uncertainty. To overcome these limitations, the proposed Ne.(γGα)CS are defined using β-closure operators and α-open supersets, providing a more comprehensive framework that extends and unifies several previously established concepts. The properties of these sets are …