Enhancing Digital Social Innovation Ecosystems: A Pythagorean Neutrosophic Bonferroni Mean (PNBM) -DEMATEL Analysis of Barriers Factors for Young Entrepreneurs

Zahari; Nur A. Binti; N. Binti Abdul; Faisal; Ashraf; Ali M. A. Bany

doi:https://doi.org/10.54216/IJNS.230413

Synergistic Navigation Control for Mobile Robots: Integrating Type-2 Fuzzy Logic and Neural Networks.

Abstract: Intelligent mobile robots operate in environments characterized by various uncertain-ties, necessitating effective navigation strategies to accomplish tasks such as path tracking and obstacle avoidance. This research employs a omni drive mobile robot to autonomously reach predefined targets in diverse scenarios within static and dynamic environments. The study evaluates two distinct controllers, a fuzzy logic controller and a neural network controller, em-ployed to guide the mobile robot safely towards its destination while mitigating collision risks with obstacles. These controllers regulate the mobile robot linear and angular velocities, ensuring adaptive navigation in real-time. Experimental results underscore the efficacy and adaptability of each controller, particularly in addressing uncertainty challenges inherent in mobile robot nav-igation. Through systematic evaluation and comparison, insights are gained into the relative performance and suitability of fuzzy logic and neural network controllers in enhancing mobile robot autonomy and robustness. This research contributes to advancing the understanding of navigation techniques in mobile robotics, facilitating the development of more efficient and re-liable autonomous systems for real-world applications.

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International Journal of Neutrosophic Science |

SOME NEW RESULTS ON DIFFERENCE PARACOMPACT NOTION IN TOPOLOGICAL SPACES

An interesting area of research in topology is D-paracompact spaces. It is a significant type of topological space that retain compactness while benefiting from paracompactness and is considered as generalization of compact spaces. The concept of D-paracompactness was introduced and its basic characteristics were examined by the author in [17]. In this research, we introduce and improve this concept further by using a special type of covering and the difference sets (called as D-sets), which contains new and impactful properties. As a result, we obtained several new properties and results. We discuss the concept, characteristics, and theorems that related of D-paracompact space. We also studied different characterizations of D-paracompact spaces and discussed how they relate to other topological characteristics. We also give numerous instances of D-paracompact spaces, highlighting their applicability in different topological spaces

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Fusion: Practice and Applications | 2024

Improving Shape Transformations for RGB Cameras Using Photometric Stereo

The emergence of low-cost red, green, and blue (RGB) cameras has significantly impacted various computer vision tasks. However, these cameras often produce depth maps with limited object details, noise, and missing information. These limitations can adversely affect the quality of 3D reconstruction and the accuracy of camera trajectory estimation. Additionally, existing depth refinement methods struggle to distinguish shape from complex albedo, leading to visible artifacts in the refined depth maps. In this paper, we address these challenges by proposing two novel methods based on the theory of photometric stereo. The first method, the RGB ratio model, tackles the nonlinearity problem present in previous approaches and provides a closed-form solution. The second method, the robust multi-light model, overcomes the limitations of existing depth refinement methods by accurately estimating shape from imperfect depth data without relying on regularization. Furthermore, we demonstrate the effectiveness of combining these methods with image super-resolution to obtain high-quality, high-resolution depth maps. Through quantitative and qualitative experiments, we validate the robustness and effectiveness of our techniques in improving shape transformations for RGB cameras.

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H. I. Wahhab mail -

A. N. Alanssari mail -

Ahmed L. Khalaf mail -

Ravi Sekhar mail -

Pritesh Shah mail -

Jamal F. Tawfeq mail

link https://doi.org/10.54216/FPA.150112

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Extending the concepts of complex interval valued neutrosophic subbisemiring of bisemiring

The objective of this paper is to investigate the innovative concept of complex neutrosophic subbisemiring. The novelty of the complex neutrosophic subbisemiring lies in its wide range of truth, indeterminacy, and false function values. It goes beyond the range of [0,1] in the complex plane in contrast to the traditional range [0,1]. Therefore, these three functions can be described mathematically using a complex number in the complex neutrosophic subbisemiring. We develop and analyze the concept of complex interval-valued neutrosophic subbisemiring (CIVNSBS). Moreover, we study homomorphic characteristics and important properties of CIVNSBS. We propose the level sets of CIVNSBS and complex interval valued neutrosophic normal  subbisemiring (CIVNNSBS) of bisemirings. Moreover, we introduce CIVNNSBS of bisemiring. Let ¡ be a complex neutrosophic subset of bisemiring S. Then is a CIVNSBS of S if and only if all non empty level set  is a subbisemiring, where . Let ¡be a CIVNSBS of bisemiring S and V be the strongest complex neutrosophic relation of bisemiring S. Then  ¡ is a CIVNSBS of bisemiring S if and only if V is a CIVNSBS of . We illustrate that homomorphic images of every CIVNSBS is a CIVNSBS and homomorphic pre-images of every CIVNSBS is a CIVNSBS. Examples are provided to illustrate our results.

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M. Palanikumar mail -

Nasreen Kausar mail -

Emre Ozbilge mail -

Ebru Ozbilge mail

link https://doi.org/10.54216/IJNS.230409

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2024

Selection process real-life application for new type complex neutrosophic sets using various aggregation operators

A new approach to multiple attribute decision-making (MADM) is presented in this article, which is based on (ȷ1, ȷ2, ȷ3) complex neutrosophic sets (CNS). We are extending the CNS in this way. Complex neutrosophic weighted averaging (CNWA), complex neutrosophic weighted geometric (CNWG), complex generalized neutrosophic weighted averaging (CGNWA), and complex generalized neutrosophic weighted geometric (CGNWG). An algorithm utilizing these operators was presented during our discussion. Extensive score and accuracy values are illustrated numerically. We will also discuss idempotency, boundedness, commutativity, and monotonicity of complex neutrosophic sets as part of this communication. You can find the best option faster, easier, and more conveniently with them. Therefore, complex (ȷ1, ȷ2, ȷ3) is more closely associated with more precise conclusions. A fascinating and intriguing finding was also revealed by the study.

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Ibraheem Abu Falahah mail -

Abdallah Al-Husban mail -

Lejo J. Manavalan mail -

Jamil J. Jaber mail -

M. Palanikumar mail -

G. Balaji mail

link https://doi.org/10.54216/IJNS.230410

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Vol. Volume 23 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2024

Stable Neutrosophic Crisp Topological Space

The significance and influence of neutrosophic crisp set theory in numerous scientific domains, particularly topology, led us to construct a new definition of topology based on neutrosophic crisp sets, allowing us to regulate its key mathematical ideas. Therefore, we constructed this definition and dubbed it stable neutrosophic crisp topology, where we went over the key idea which is the interior with the vital features.

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Doaa Nihad Tomma mail -

L. A. A. Al-Swidi mail

link https://doi.org/10.54216/IJNS.230411

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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Journal of Intelligent Systems and Internet of Things | 2024

An adaptive distributed intrusion detection system in local network: Hybrid classification methods

In the realm of cybersecurity, the incessant evolution of network attacks necessitates advanced and robust intrusion detection systems (IDS). The major issues with these systems are numerous: false positive/negative alarms, delayed response and detection time, size of processed data, adaptability to future threats, scalability of the system, difficulty in detecting distributed attacks, and downtime (fault tolerance). We propose a system that introduces a distributed framework aimed at enhancing network security by effectively identifying subtle deviations from normal network behavior. This is achieved through transfer learning based on artificial neural networks, and support vector machine (SVM), capitalizing on their complementary strengths in recognizing complex patterns and addressing high-dimensional datasets. To validate the efficacy of the proposed approach, the NSL-KDD dataset is utilized within a distributed IDS architecture. It consists of several intrusion detection nodes representing subnetworks. A node consists of two agents that work collaboratively. A way is proposed to avoid interference between analysis agents: the network agents manager monitors the functioning of the nodes and displays the results of each vulnerability-detecting node in each subnet separately. Such communication between agents should reduce FPAS (false positive alarms) significantly. The Detection engine extracts relevant features of network attacks to solve the problem of SVM in processing huge sizes of data and detect adaptive future threats to detect famous distributed denial of services (DDOS) attacks in real-time. The system is highly scalable by increasing the number of intrusion detection system nodes if necessary. Central processing is avoided to circumvent a system failure situation, where processing and decision-making take place at the detection node level within each subnet.

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Amjad Hijazi mail -

Nizar Alhafez mail -

Iyad Al-khayat mail

link https://doi.org/10.54216/JISIoT.120110

Volume & Issue

Vol. Volume 12 / Iss. Issue 1

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Fusion: Practice and Applications | 2024

Optimizing Task Scheduling and Resource Allocation in Computing Environments using Metaheuristic Methods

Optimizing system performance in dynamic and heterogeneous environments and the efficient management of computational tasks are crucial. This paper therefore looks at task scheduling and resource allocation algorithms in some depth. The work evaluates five algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FA) and Simulated Annealing (SA) across various workloads achieved by varying the task-to-node ratio. The paper identifies Finish Time and Deadline as two key performance metrics for gauging the efficacy of an algorithm, and a comprehensive investigation of the behaviors of these algorithms across different workloads was carried out. Results from the experiments reveal unique patterns in algorithmic behaviors by workload. In the 15-task and 5-node scenario, the GA and PSO algorithms outclass all others, completing 100 percent of tasks before deadlines, Task 5 was a bane to the ACO algorithm. The study proposes a more extensive system that promotes an adaptive algorithmic approach based on workload characteristics. Numerically, the GA and PSO algorithms triumphed completing 100 percent of tasks before their deadlines in the face of 10 tasks and 5 nodes, while the ACO algorithm stumbled on certain tasks. As it is stated in the study, The above-mentioned system offers an integrated approach to ill-structured problem of task scheduling and resource allocation. It offers an intelligent and aggressive scheduling scheme that runs asynchronously when a higher number of tasks is submitted for the completion in addition to those dynamically aborts whenever system load and utilization cascade excessively. The proposed design seems like full-fledged solution over project scheduling or resource allocation issues. It highlights a detailed method of the choice of algorithms based on semantic features, aiming at flexibility. Effects of producing quantifiable statistical results from the experiments on performance empirically demonstrate each algorithm performed under various settings.

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Heba M. Fadhil mail

link https://doi.org/10.54216/FPA.150113

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Betam-Closed Sets in Fuzzy Neutrosophic Topological Spaces

The current work offers a new concept of sets and called uzzy eutrosophic m-closed sets in fuzzy neutrosophic topology. In fact, the research is an extended form of a research conducted by F. M. Mohammed et.al. [1-7]. It explores a number of noteworthy examples to shed the light on the new characteristics and attributes of these recently formed conceptions, as well as some associated interactions between them.

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Nawras N. Sabry mail -

Fatimah M. Mohammed mail

link https://doi.org/10.54216/IJNS.230412

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2024

Enhancing Digital Social Innovation Ecosystems: A Pythagorean Neutrosophic Bonferroni Mean (PNBM) -DEMATEL Analysis of Barriers Factors for Young Entrepreneurs

This study employs a Pythagorean Neutrosophic Bonferroni Mean (PNBM) - Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to analyze barriers faced by young entrepreneurs in Digital Social Innovation (DSI). Pythagorean Neutrosophic Set (PNS) enriches the analysis, accommodating uncertainties in the complex socio-economic context. Limited Access to Funding emerges as the most influential barrier, showcasing its pivotal role in impacting other DSI challenges. Regulatory and Compliance Challenges are identified as interdependent, emphasizing their interconnected nature with broader barriers. Neutrosophic elements elucidate the uncertainties surrounding financial constraints, regulatory frameworks, and mentorship dynamics. The study contributes to a nuanced understanding of DSI challenges and pioneers the application of neutrosophic logic in socio-economic research. It advocates for a more inclusive decision-making methodology, fostering adaptability in addressing the indeterminate nature of barriers faced by young entrepreneurs navigating the digital social innovation landscape. The findings aim to enhance support systems, fostering a conducive environment for DSI initiatives and encouraging future research in neutrosophic decision-making methodologies.

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Zahari Rodzi mail -

Nur A. Binti Shafie mail -

N. Binti Abdul Razak mail -

Faisal Al-Sharqi mail -

Ashraf Al-Quran mail -

Ali M. A. Bany Awad mail

link https://doi.org/10.54216/IJNS.230413

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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