Driving Innovation and Leadership Opportunities for Women in the Expanding Field of AI and Technology

Divya

doi:https://doi.org/10.54216/FinTech-I.030102

Fusion: Practice and Applications | 2024

Controller Design for Congestion Avoidance Based on Several Optimization Techniques

The world has become more like a small community thanks to the internet, which connects millions of people, businesses, and pieces of technology for a variety of uses. Because of the significant influence these networks have on our lives, maintaining their efficiency is important, which necessitates addressing issues like congestion. In this study, PI-controller gains are adjusted using a variety of optimization strategies to regulate the nonlinear TCP/AQM model. This controller commits controlled pressured signaling characteristics and modifies computer network congestion. First manual tune PI-Controller are used; then several optimization techniques were used to tune PI-controller gains (Particle Swarm Optimization (PSO), Ant-Colony Optimization (ACO) and Simulated Annealing algorithm (SA)) and then Linear Quadratic Regulator theory are used.  To test the reliability and effectiveness of each of the suggested controllers, several tests utilizing varied network parameter values, different queue sizes, and extra disturbances were conducted. MATLAB was used for all experiments., the results show the superiority of the LQR controller over PI controller with both manual and optimal tuning techniques.

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Ghufran abdulqader alhaddad mail -

Anass yousif abass mail -

Nora Ahmed Mohammed mail

link https://doi.org/10.54216/FPA.140123

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Single Valued Neutrosophic HyperSoft Set based on VIKOR Method for 5G Architecture Selection

This work introduces the framework for selecting architecture in 5G networks, considering various technological, performance, economic, and operational factors. With the emergence of 5G technology, the architecture selection process has become pivotal in meeting diverse requirements for ultra-high-speed connectivity, low latency, scalability, and diverse service demands. The evaluation comprehensively analyses different architecture options, including centralized, distributed, cloud-based, and virtualized architectures. Factors such as network performance, scalability, cost-effectiveness, security, and compatibility are considered within a multi-criteria decision-making framework. Findings reveal each architecture option's diverse strengths and limitations, emphasizing the importance of aligning architectural choices with specific use cases, deployment scenarios, and business objectives. We used the concept of multi-criteria decision-making (MCDM) methodology to control the various criteria. We used the single-valued neutrosophic set (SVNS) to deal with vague and inconsistent data. The SVNS is integrated with the hyperSoft set. The proposed methodology uses a single-valued neutrosophic hyperSoft set (SVNHSS) to select the best 5G architecture. We used the VIKOR method as an MCDM method to rank the alternatives. The proposed framework provides stakeholders with a structured methodology to evaluate and prioritize architecture options, facilitating informed decision-making in the complex landscape of 5G network deployments.

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Florentin Smarandache mail -

Ahmed M. Ali mail -

Ahmed Abdelhafeez mail

link https://doi.org/10.54216/IJNS.230205

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2024

Neutrosophic Topological Vector Spaces and its Properties

The algebraic structures Group, Ring, Field and Vector spaces are important innovations in Mathematics. Most of the theoretical concepts of Mathematics are based on the theorems related to these algebraic structures. Initially many mathematicians developed theorems related to all these algebraic structures. In 20th century most of the researchers introduced the theorems on the algebraic structures with Fuzzy and Intuitionistic fuzzy sets. Recently in 21st century the researchers concentrated on Neutrosophic sets and introduced the algebraic structures like Neutrosophic Group, Neutrosophic Ring, Neutrosophic Field, Neutrosophic Vector spaces and Neutrosophic Linear Transformation. In the current scenario of relating the spaces with the structures, we have introduced the concepts of Neutrosophic topological vector spaces. In this article, the study of Neutrosophic Topological vector spaces has been initiated. Some basic definitions and properties of classical vector spaces are generalized in Neutrosophic environment over a Neutrosophic field with continuous functions. Neutrosophic linear transformations and their properties are also included in Neutrosophic Topological Vector spaces.  This article is an extension work of fuzzy and intuitionistic fuzzy vector spaces which were introduced in fuzzy and intuitionistic fuzzy environments. Even though it is an extension work, Neutrosophic Topological Vector space will play an important role in Neural Networks, Image Processing, Machine Learning and Artificial Intelligence Algorithms.

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E. Kungumaraj mail -

E. Lathanayagam mail -

Utpal Saikia mail -

M. Clement Joe Anand mail -

Sakshi Taaresh Khanna mail -

Nivetha Martin mail -

Mohit Tiwari mail -

Seyyed Ahmad Edalatpanah mail

link https://doi.org/10.54216/IJNS.230206

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2024

Mathematical Morphological Operations for Quadri -Partitioned Neutrosophic Set

This research aims to introduce a novel notion in mathematical morphological operations on a quadri-partitioned neutrosophic set, which is a particular case of the neutrosophic refined set. In neutrosophic theory, the set is divided into three parts: the true set, the false set, and the indeterminancy set. The indeterminacy is studied in depth in quadri neutrosophic. The primary intention is to reduce uncertainty. The suggested study extracts the core concepts of morphological operations and explains their algebraic properties. Some features of morphological operators linked to quadri-partitioned neutrosophic sets are also derived.

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Panimalar A. mail -

Mohana K. mail -

Parvathi R. mail -

Santhosh Kumar S. mail

link https://doi.org/10.54216/IJNS.230207

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Towards neutrosophic Circumstances goal programming approach for solving multi-objective linear fractional programming problems

Indeterminacy is common in practical decision-making circumstances. So the mathematical models of decision making represent the situations in a better way if the parameters are considered as neutrosophic.  This article studies a general framework of multi-objective neutrosophic linear fractional programming problem (MONLFPP) and proposes unique approach. The issue's parameters are thought of as triangular neutrosophic numbers. The problem is converted into an equal crisp multi-objective linear programming problem (MOLPP) with the help of variable transformation technique and a ranking function.  Fuzzy goal programming is used to solve the MOLPP that has been obtained. Finally, the usefulness of the proposed technique is established using two mathematical models.

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Alhanouf Alburaikan mail -

S. A. Edalatpanah mail -

Rabab Alharbi mail -

Hamiden Abd El-Wahed Khalifa mail

link https://doi.org/10.54216/IJNS.230130

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Sorting Out Interval Valued Neutrosophic Fuzzy Shortest Cycle Route Problem by Reduced Matrix Method

The assertiveness theory next addresses the difficulties of the travelling salesman after discussing the problem with transportation and assignment.  The Shortest Cycling Route Problem (SCRP) finds the shortest route that stops in each city exactly once using a preset set of cities and their bilateral distances.  The arc lengths in TSO are typically seen as representing travel time or travel expenses rather than actual distance.  The precise arc length cannot be predicted because cargo, climate, road conditions, and other factors also can affect the journey time or cost.  For handling the unpredictability in SCRP, fuzzy set theory provides a new tool.  The shortest cyclic route problem with interval-valued neutrosophic fuzzy numbers as cost coefficients is solved using the simplified matrix techniques in this study.  Reduced Matrix Method is used to solve a numerical problem and its efficacy is demonstrated.

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S. Krishna Prabha mail -

M. Clement Joe Anand mail -

V. Vidhya mail -

G. Nagarajan mail -

Utpal Saikia mail -

Nivetha Martin mail -

M. Santoshi Kumari mail -

Mohit Tiwari mail

link https://doi.org/10.54216/IJNS.230208

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

T-Spherical Fuzzy-Valued Neutrosophic Set Theory

From fuzzy to neutrosophy, multiple hybrid models have been innovated, with each introduced model surpassing its predecessor. Due to the inherent indeterminacy in the world, a more precise form of imprecision is required. As a result, more sophisticated variants of the neutrosophic set have been created. Examples of these amalgamations include fuzzy neutrosophic sets, intuitionistic fuzzy neutrosophic sets, Pythagorean fuzzy neutrosophic sets, neutrosophic vague sets, and neutrosophic rough sets. The main objective of this paper is to present another variant of the neutrosophic set called T-spherical fuzzy-valued neutrosophic set (T-SFVNS). Serving as a generalization of the aforementioned combinations, T-SFVNS allows for the representation of indeterminacy and inconsistency in a more nuanced manner. In this paper, we define the T-SFVNS and Tspherical fuzzy-valued neutrosophic numbers (T-SFVNNs). Additionally, we propose several types of score and accuracy functions to compare the T-SFVNNs. We also present the basic operations of T-SFVNSs and the algebraic operations of T-SFVNNs, supported by proofs and illustrative examples..

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Ashraf Al-Quran mail -

Faisal Al-Sharqi mail -

Hamiden Abd El- Wahed Khalifa mail -

Haifa Alqahtani mail -

Ali M. A. Bany Awad mail

link https://doi.org/10.54216/IJNS.230209

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

T-Spherical Fuzzy Valued Neutrosophic Aggregation Operators: Applications in Multi-Attribute Decision Making

This paper aims to introduce and explore the innovative concept of T-spherical fuzzy valued neutrosophic sets (T-SFVNSs) in the context of multi-attribute decision making (MADM). The T-SFVNSs are utilized to develop two key aggregation operators: the T-spherical fuzzy valued neutrosophic weighted average operator (T-SFVNWAO) and the T-spherical fuzzy valued neutrosophic weighted geometric operator (T-SFVNWGO). These operators are defined based on the operational rules of T-SFVNNs. The properties of these operators, including idempotency, boundedness, and monotonicity, are rigorously examined and established. To demonstrate the practicality and relevance of the T-SFVN operators, an algorithm and a numerical application are presented. The algorithm illustrates the step-by-step implementation of these operators, while the numerical application showcases their effectiveness in real-world scenarios. Additionally, a comparative analysis is conducted to evaluate the accuracy and performance of the proposed operators in relation to existing ones.

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Ashraf Al-Quran mail -

Faisal Al-Sharqi mail -

Hamiden Abd El- Wahed Khalifa mail -

Aziza Algarni mail -

Ali M. A. Bany Awad mail -

Heba Ghareb Gomaa mail

link https://doi.org/10.54216/IJNS.230210

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Time Effective Fuzzy Soft Set and Its Some Applications with and Without a Neutrosophic

As a generalization of fuzzy soft sets, we present the idea of time-effective fuzzy soft sets (T-EFSS) in this study. Additionally, i will describe its fundamental operations complement, union intersection, AND, and OR—and examine their characteristics. I will finally provide two applications of this idea to decision-making situations. The second application that neurosophic Membership offers In addition, to demonstrate influence over variables that might impact membership values following application.

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Ayman Hazaymeh mail

link https://doi.org/10.54216/IJNS.230211

Volume & Issue

Vol. Volume 23 / Iss. Issue 2

Details open_in_new

Financial Technology and Innovation | 2023

Driving Innovation and Leadership Opportunities for Women in the Expanding Field of AI and Technology

In the dynamic and ever-changing world of artificial intelligence and technology, EmpowerHerAI offers a fresh approach to empowering women via innovation and leadership roles. Gender-Balanced Recruitment (GBR), the Inclusive Leadership Index (ILI), and the Mentorship Matching Algorithm (MMA) are the three algorithms that make up the suggested method, which offers a thorough, data-driven answer. ILI assesses and improves inclusive leadership practices, MMA maximizes individual mentoring, and GBR tackles gender gaps in hiring. With its dynamic and integrated architecture covering the full professional lifetime, the technique outshines previous methods. EmpowerHerAI is a game-changing program that promotes diversity and inclusion in all aspects of AI, including hiring, mentoring, and leadership roles, making it easier for women to break into these important industries.

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Divya Jain mail

link https://doi.org/10.54216/FinTech-I.030102

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new