Other Certain Classes of Generalized Neutrosophic Soft Separation Structures

Alaa. M. F. AL. Jumaili

doi:https://doi.org/10.54216/IJNS.220106

Journal of Sustainable Development and Green Technology | 2023

A Strategy for Sustainable Administration Policies: Analysis and Evaluation

As businesses expand their global footprint in an era marked by growing environmental and ethical concerns, the administration of international operations has become a focal point for fostering sustainability and responsible corporate behavior. This paper delves into the intricate realm of sustainable administration in international business, with a particular focus on strategies employed by organizations to align their practices with environmental, social, and ethical considerations. Leveraging advanced data analytical methods, including k-means clustering, and guided by the insights of the Elbow Method, our research provides a comprehensive analysis of sustainable administration strategies. Drawing from Prudential Life Insurance as a case study, we explore how multinational corporations navigate the complexities of sustainability, particularly in the face of global challenges. Through rigorous examination and empirical findings, our study offers actionable insights for businesses aiming to strike a balance between competitiveness and responsible global citizenship. In an increasingly interconnected world, this research contributes to the ongoing dialogue on sustainable business practices, underlining the significance of sustainable administration in shaping a more resilient and equitable global economy.

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Ahmed M. Ali mail -

Ahmed Abdelhafeez mail

link https://doi.org/10.54216/JSDGT.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Journal of Sustainable Development and Green Technology | 2023

Methodologically improved model of international competitiveness

It is known that the study of economic processes includes micro, macro, and an international level analysis of certain individual economic entities, that is, firms and industries (branches). While the process of studying and making decisions on the international economic behavior of specific individual subjects in order to maximize the satisfaction of unlimited needs in the context of limited resources is a research object and subject of the field of "international economy". The modern economic theories researched in the scientific article require wider use of mathematical instruments in the study of quantitative aspects of economic processes. One of the more widely used models in practice is the economic-mathematical model. An economic-mathematical model is a formalized classification of economic processes or phenomena, the composition of which is formed depending on the objective or subjective characteristics arising from the research purpose. Economic-mathematical models expressed quantitative aspects of economic processes through functions, equations, or inequalities. Modern economic theories, mathematical models, and functions (equalities or inequalities) used in the implementation of micro, macro, or international economic analysis of gross income increase in the article indicate the scientific basis, expediency, and relevance of the chosen topic.

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Asomiddin Soatovich Yusupov mail

link https://doi.org/10.54216/JSDGT.030104

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Journal of Sustainable Development and Green Technology | 2023

Smart Supply Chain management for Sustianble Business Administrations

The integration of smart supply chain technologies has emerged as a catalyst for reshaping the landscape of sustainable business administrations. This paper presents a comprehensive investigation into the dynamic relationship between smart supply chains and sustainability, examining their intricate interplay and the transformative potential they hold for modern supply chain management. Leveraging an ensemble of three machine learning models—Decision Trees, Support Vector Machines, and Logistic Regression—we analyze extensive datasets encompassing supply chain operations. Our findings demonstrate that the strategic deployment of smart technologies enhances predictive accuracy, informs data-driven decision-making, and optimizes supply chain processes. This research underscores the pivotal role of smart supply chains in achieving sustainability objectives. By fusing predictive accuracy with data-driven decision-making, our research underscores the pivotal role of smart supply chains in achieving sustainable business practices. The insights presented herein offer not only academic contributions but also actionable guidance for businesses navigating the intricacies of modern supply chain management.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/JSDGT.030105

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Journal of Sustainable Development and Green Technology | 2023

Evaluating and Managing Sustainability Performance of Supply Chain and Business Process Management: An Integrated and Applied Approach

As global supply chains become increasingly complex and environmentally conscious, the imperative for Sustainability-Driven Decision-Making (SDDM) gains paramount importance. This paper delves into the transformative potential of machine learning in reshaping sustainability practices within supply chains. Leveraging a diverse dataset encompassing provisioning, production, sales, and commercial distribution across clothing, sports, and electronic supplies, we employ a range of machine learning algorithms, including Logistic Regression, Gaussian Naive Bayes, Support Vector Machines, k-Nearest Neighbors, Linear Discriminant Analysis, Random Forest, Extra Trees, XGBoost, and Decision Trees. Our analysis spans critical dimensions of supply chain management, from fraud detection to late delivery prediction, and illuminates the pivotal role of these algorithms in improving sustainability outcomes. Through empirical experimentation, we identify optimal models for each task, revealing their strengths and limitations. Additionally, we visualize feature importance, offering insights into the factors shaping sustainability within supply chains. Our research underscores the symbiotic relationship between data-driven decision-making and sustainable practices, paving the way for more responsible, efficient, and resilient supply chains. As businesses seek to navigate an evolving landscape, the fusion of machine learning and sustainability emerges as a compelling paradigm, fostering a future where supply chains not only optimize operations but also contribute to global sustainability goals.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/JSDGT.030202

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Galoitica: Journal of Mathematical Structures and Applications | 2023

On Fully Right Prime Ternary Rings and Their Algebraic Properties

The objective of this paper to study some algebraic properties of ternary rings in which all of their proper right ideals are prime. Also, we characterize the relation between this class of ternary rings and the rings that all of their right ideals are weakly prime.

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Zahraa Hasan mail

link https://doi.org/10.54216/GJMSA.070203

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Galoitica: Journal of Mathematical Structures and Applications | 2023

The Integrals on Spherical Regions in ℜn

This paper is dedicated to find the values of the integrals in the spherical region of  depending on the generative Kernel method by finding the integral formula that we use in the orthogonal and regular operations to find Ortho-normal polynomials on the sphere with radius r. Also, we illustrate many examples to clarify the validity of our work.

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Murat Ozcek mail

link https://doi.org/10.54216/GJMSA.070204

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Galoitica: Journal of Mathematical Structures and Applications | 2023

On Finding Legendre Polynomials by Algebraic Methods Based on Matrix Theory

This paper is dedicated to find Legendre polynomials by using novel linear algebraic methods based on matrices based on Liouville-Sturm theorem, where we find the matrix of the differential operator for Legendre polynomials, with their eigenvalues and their eigenvectors. Also, we illustrate many examples to clarify the validity of our work.

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Lee Xu mail

link https://doi.org/10.54216/GJMSA.070205

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Vol. Volume 7 / Iss. Issue 2

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Fusion: Practice and Applications | 2023

A New Data Fusion Framework of Business Intelligence for Mining Educational Data

Student academic performance can be affected by social, economic, and educational factors. Many research works studied these factors applying to different levels in the educational organizations’ models. The importance spans giving professional educational advice to vulnerable students, supporting the student’s development of special education-related skills, and encouraging students to handle their education challenges. For educational organizations, dealing with pandemics and other obstacles has proven to be essential for education sustainability. One way is to be proactive and use the power of exploring and discovering educational data to predict students’ performance and attitude. Mining educational data can benefit from Business Intelligence (BI) in visualizing, organizing, and extracting insights for student’s performance. Educational Data Mining (EDM) is used in this research to predict students' performance. A novel data fusion framework is introduced for Business Intelligence using educational data mining. This study aims to show the techniques that predict students' performance and the most effective methods for each of them. The proposed framework used the advantage of business intelligence concepts and tools to highlight the metrics providing better statistical and analytical understanding.

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Nissreen El Saber mail -

Aya Gamal Mohamed mail -

Khalid A. Eldrandaly mail

link https://doi.org/10.54216/FPA.130108

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

The Algebraic Structures of Q-Complex Neutrosophic Soft Sets Associated with Groups and Subgroups

Groups and subgroups are rich algebraic structures, and both of them depend on binary operations in their work. The discussion of this paper is organized into two parts. In the first part, we define the notion of Qcomplex neutrosophic soft sets (Q-CNSSs) by amalgamating two previous models of Q-complex neutrosophic set (Q-CNS) and soft set (SS) to address the issues of two-dimensionality (two variables) in a universal set under a parametric environment. Subsequently, the relation between Q-CNSSs and Q- neutrosophic soft sets (Q-NSSs) is verified. A basic set theory for this hybrid model is developed. In particular, null Q-CNSS and absolute Q-CNSS are defined. The basic operators of the complement, subset, equality, union and intersection are advanced and their properties are examined. Further, the notions of the homogeneous and completely homogeneous Q-CNSSs are proposed along with some illustrated examples. In part two, we move to study some algebraic structures of this model when we define the notions of Q-complex neutrosophic soft groups (QCNSG) and Q-complex neutrosophic soft subgroups (Q-CNSSG). Then, the relation between Q-CNSG and Q-neutrosophic soft group (Q-NSG) is scrutinized. Moreover, the algebraic properties of the Q-CNSG and Q-CNSSG are discussed and verified. Finally, some theories that show the relationship between the Q-CNSG and the soft group are proposed.

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Ashraf Al-Quran mail -

Faisal Al-Sharqi mail -

Zahari Md. Rodzi mail -

Mona Aladil mail -

Rawan A. shlaka mail -

Mamika Ujianita Romdhini mail -

Mohammad K. Tahat mail -

Obadah Said Solaiman mail

link https://doi.org/10.54216/IJNS.220105

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Other Certain Classes of Generalized Neutrosophic Soft Separation Structures

The main target of introduce our manuscript is to study and investigate another new extension for the classical meanings of neutrosophic soft neighbourhood and soft separation structures namely, neutrosophic soft δ-ß-neighbourhood and neutrosophic soft δ-ß-separation structures based on new idea of neutrosophic soft open sets called, neutrosophic soft δ-ß-open sets which is more general than of the neutrosophic soft open sets. This manuscript is devoted to obtaining some characterizations and essential properties concerning of neutrosophic soft δ-ß- Ti-spaces (i=0, 1, 2, 3, 4) as well the relationships among them. In addition, some relationships of neutrosophic soft δ-ß-separation structures with regard to neutrosophic soft points have been discussed. In addition, diverse suitable examples to support of our main results have been supplied.  

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Alaa. M. F. AL. Jumaili mail

link https://doi.org/10.54216/IJNS.220106

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

Details open_in_new