Identifying Internet Streaming Services using Max Product of Complement in Neutrosophic Graphs

Wadei Faris; M.; Rajeshwari

doi:https://doi.org/10.54216/IJNS.230123

Journal of Intelligent Systems and Internet of Things | 2024

A Multi-Criteria Decision Making TOPSIS Fusion Approach for Selection Best Strategy Charging for Electric Bus Systems

An essential part of electrifying bus networks is deciding on the appropriate charging strategy among the many available alternatives, such as opportunistic (rapid) charging techniques and overnight (slow) charging. The broad usage of electric buses in public transportation networks and the increasing demand for environmentally friendly transportation options have elevated the significance of this step. This research establishes a multi-criteria decision-making (MCDM) fusion method for choosing the optimal electric bus charging strategy by considering various variables, including operational, quality-of-service, social, environmental, and economic factors. To determine what matters most for making decisions in this field, we surveyed electric bus specialists and reviewed the literature extensively. We used the TOPSIS method as an MCDM fusion method to combine the criteria and alternatives. We compute the weights of criteria by the average method. Then, the TOPSIS fusion method selects and ranks the alternatives. We collected the 20 criteria and five alternatives in this study. We show that overnight is the best charging strategy in the electric bus system. We performed a sensitivity analysis to show the different cases in criteria weights, then ranked the alternatives under different weights to establish the stability of the results.

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Rita A. Díaz Vásquez mail -

Marcos L. Flores mail -

Esteban L. Espinel mail

link https://doi.org/10.54216/JISIoT.110107

Volume & Issue

Vol. Volume 11 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2024

Optimizing Retail Business Strategies with Advanced Analytics and Improved Business Intelligence Techniques

The retail landscape thrives on the synthesis of advanced analytics and business intelligence techniques, pivotal in navigating the complexities of consumer behavior and market dynamics. This study addresses the imperative to optimize retail strategies by leveraging historical sales data from 45 diverse stores with multifaceted departments. The challenge of predicting retail sales prices guided our methodology, employing convolutional neural network architectures and Root Mean Square Error (RMSE) as the principal error metric. Through iterative computations and feature extractions, our model aimed to discern intricate patterns and correlations within the retail domain, underpinning strategic decision-making processes. Analysis of the integrated methodologies illuminated critical insights into the intricate interplay of factors impacting retail operations. The findings underscored the significance of these techniques in informing strategic decisions, highlighting their potential to elevate sales performance and operational efficiencies. Our study culminates in advocating for the application and refinement of predictive models across diverse retail contexts, proposing further research into real-time application and interpretability methods.

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Luis llerena Ocana mail -

Dionisio Ponce Ruiz mail -

Betty Valle Fiallos mail

link https://doi.org/10.54216/JISIoT.110108

Volume & Issue

Vol. Volume 11 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

On Orthogonal Reverse α-Derivations of Semi-prime -Ring

In this paper, the concept of reverse a-derivation on G-ring M, and some results concerning two reverse a-derivations on M that are related to classical result of E.Ponser are presented. These results shows that if M is a2-torsion free semiprime G-ring, d and g are non-zero reverse derivations of M, then dg are not a non-zero derivation. The new main results present and study notion of orthogonally reverse a-derivations  of M.

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Mudheher Abdul-Jabbar H. Albayati mail

link https://doi.org/10.54216/GJMSA.090103

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

Suggesting Two Cases of Total Summation Matching When Comparing Columns of Prime Numbers and Composite Numbers

This research paper focuses on a captivating mathematical phenomenon that arises when examining the total summation of prime and composite numbers. It brings to light two specific cases where the sum of numbers from a certain range is equal for both prime and composite numbers. The paper offers a deep exploration into the theoretical foundations and intricate mathematics that underlie this phenomenon. The research paper conducts a comprehensive analysis of the phenomenon, examining the specific ranges and conditions in which the total summation equality occurs. It delves into the mathematical principles involved, investigating the relationships between prime and composite numbers and their summations. The implications of these findings are explored, shedding light on the underlying patterns and structures in number theory.

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Tareq M. Alkarimi mail -

Rasha B. Yousif mail

link https://doi.org/10.54216/GJMSA.090104

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

Prospects for Applied Mathematics and Data Analysis | 2023

Some Important Theories about Duality and the Economic Interpretation of Neutrosophic Linear Models and Their Dual Models

The essence of operations research is focused on creating and using models. The first step is to create the model, which requires a set of data that is determined from the aspects of the real system that the model must represent. The model is an acceptable model if it achieves the purpose for which it was formulated, and since programming issues linearity is concerned with allocating scarce resources, including labor, machinery, and capital, and using them in the best possible way, such that costs are reduced to a minimum or profits are maximized, by choosing the optimal decision from several available options. Since linear models are used in many fields, it was necessary to prepare studies that meet the needs of decision makers who have made solutions to linear programming problems a safe haven for them. The duality theory is considered one of the most important linear programming theories because it is used in many fields and is relied upon in the economic interpretation of the content of linear models. It provides a comprehensive study of the system represented by the linear model and its dual model. In this research, we present a study of the theory of neutrosophic dual and its economic interpretation by presenting a set of theorems that can be relied upon in explaining the results of solving both the original neutrosophic models and their dual.

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Maissam Jdid mail

link https://doi.org/10.54216/PAMDA.020203

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Bayesian Approximation Methods of the Estimation for Generalized Exponential Distribution and Neutrosophic Approximation Methods

In this article, we used approximate methods to obtain Bayes method estimations for the shape and scale parameters of the generalized exponential distribution, as three approximation methods were employed: Lindley approximation and neutrosophic Lindley approximation, Gibbs sampling and neutrosophic Gibbs sampling, the most important samples based on the gamma informative prior under the squared error loss function. Through different simulation experiments a comparison was made between those estimators of these three approximate methods, from the simulation results we found a relative preference for the important sampling method over the other two methods. The results of simulation experiments were also confirmed by applying these approximate methods to real data representing the operating times of one of the machines of the publishing, printing, and translation house in Baghdad. On the other hand, we apply the same method to the neutrosophic exponential distribution, and the results will be compared to the classical case.

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Hanaa Saad M. Shebib mail -

Rawaa S. AL-Saffar mail

link https://doi.org/10.54216/IJNS.230124

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Enhancing neutrosophic fuzzy compromise approach for solving stochastic bi- level linear programming problems with right- hand sides of constraints follow normal distribution

 In this paper, a bi-level chance constrained programming problem is considered when the coefficients of the objective function is presented as neutrosophic numbers and the right- hand side of the constraints is normal variables and the constraints have a joint probability distribution. While the probability problem and applying the score and accurate functions the problem is converted into an equivalent deterministic non- linear programming problem, a fuzzy programming approach is applied by defining membership function. A linear membership function is used for obtaining optimal compromise solution. A numerical example is given to illustrate the proposed methodology.

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Hamiden Abd El- Wahed Khalifa mail -

Faisal Al-Sharqi mail -

Ashraf Al-Quran mail -

Zahari Rodzi mail -

Heba Ghareb Goma mail -

Abdalwali Lutfi mail

link https://doi.org/10.54216/IJNS.230120

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Promoting Student Success with Neutrosophic Sets: Artificial Intelligence and Student Engagement in Higher Education Context

Several higher education institutions recommended active learning many decades ago. In many fields, artificial intelligence (AI) has turned out to be a dominant aspect of people's lives. One of the fields that welcome AI is education. AI can play a crucial role in active learning, which is a teaching method that encourages students to take an active role in their learning process. Active learning can involve a wide range of activities, such as problem-solving, group discussions, and self-reflection. This quantitative research paper aims to explore students' engagement and perceptions of patterns of embracing AI tools and their relationship to student learning outcomes. A diverse sample of 355 students from a highly reputable university in the United Arab Emirates participated in the research study (UAE). Descriptive Analysis and Correlation Coefficient were used to achieve the paper's objectives. Findings uncovered students’ high engagement level in classroom activities, and they perceived AI tools as useful and effortless, which promotes their engagement and attention inside classrooms. Furthermore, the results demonstrated the existence of a positive association between students' perceptions of embracing AI and student engagement in the learning environment. However, students’ learning outcomes have a non-remarkable association with student engagement and their perception of AI patterns. The study's findings suggest embracing and promoting AI applications in classrooms to keep students engaged. This study's use of Neutrosophic sets offers a fresh way to approach the problem of ambiguity when evaluating students' opinions and performance in relation to AI technologies. Neutrosophic sets, a mathematical framework designed to manage uncertainty, provide a sophisticated way to understand how students' complicated interactions with AI operate. This integration promises a more comprehensive and flexible educational paradigm and is a trailblazing method of negotiating the complexities of active learning in higher education.

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Nahla Moussa mail -

Rachid Bentoumi mail -

Tariq Saali mail

link https://doi.org/10.54216/IJNS.230121

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Innovative Theoretical Approach: Bipolar Pythagorean Neutrosophic Sets (BPNSs) in Decision-Making

In this paper, the concept of bipolar Pythagorean fuzzy neutrosophic sets (BPNSs) will be introduced which represents an innovative synthesis, incorporating bipolarity, Pythagorean fuzzy sets, and neutrosophic sets to provide a comprehensive solution to the multifaceted issues encountered in decision-making challenges. BPNS is proposed to enhance the expressiveness and flexibility of the model by incorporating both positive and negative preferences that can lead to more accurate and realistic modeling of complex decision scenarios. The essential idea of BPNSs is defined and some definitions for instance complement, intersection, and union are described. The basic operation, the derivation of its properties, and the numerical example of the method are integrated to execute the proposed model.

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Noraini Ahmad mail -

Zahari Rodzi mail -

Faisal Al-Sharqi mail -

Ashraf Al-Quran mail -

Abdalwali Lutfi mail -

Zanariah Mohd Yusof mail -

Nor Aini Hassanuddin mail

link https://doi.org/10.54216/IJNS.230122

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024