Application of the Neutrosophic TOPSIS for the Analysis of the Violation of Due Process in Ecuadorian Adolescents

Teresa De Jesús M.; Katherine T. Troya; Erick M. Vásquez

doi:https://doi.org/10.54216/IJNS.230420

American Journal of Business and Operations Research |

Fermatean Neutrosophic Rough Set

In order to balance uncertainty, a reasonable approximation of a crisp set that yields lower as well as upper approximations of the set are done. Here, first, a special class of Fermatean Neutrosophic Set by associating the Neutrosophic Set and Fermatean Fuzzy Set is devised. A relatively new concept of Fermatean Neutrosophic Approximation Space and Fermatean Neutrosophic approximation operators are introduced. In this context, a new class of Fermatean Neutrosophic Rough set is established and a few of its characteristics are mentioned. Also, the cut sets of Fermatean Neutrosophic Rough sets, which characterize Fermatean Neutrosophic rough approximation operators are investigated.

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American Journal of Business and Operations Research |

Fermatean Neutrosophic Rough Set

To balance uncertainty, a reasonable approximation of a crisp set that yields lower as well as upper approximations of the set are done. Here, first, a special class of Fermatean Neutrosophic Set by associating the Neutrosophic Set and Fermatean Fuzzy Set is devised. A relatively new concept of Fermatean Neutrosophic Approximation Space and Fermatean Neutrosophic approximation operators are introduced. In this context, a new class of Fermatean Neutrosophic Rough set is established and a few of its characteristics are mentioned. Also, the cut sets of Fermatean Neutrosophic Rough sets, which characterize Fermatean Neutrosophic rough approximation operators are investigated.

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International Journal of Neutrosophic Science | 2024

A New Approach to Solve Transportation Problems Under Neutrosophic Environment

The transportation problem has received a lot of attention in the field of operations research. In many circumstances, transportation planners may lack clear information on supply, demand, and transportation costs. Fuzzy sets can accept incomplete information by allowing for degrees of membership, which describe the level of certainty or uncertainty associated with each parameter. Three components—truth-membership, indeterminacy-membership, and falsity-membership degrees—are added to fuzzy numbers to create neutrosophic fuzzy numbers, which enables a more complex depiction of uncertainty. In this paper, we discuss the fuzzy transportation problem in a neutrosophic environment. Here the transportation costs, demands, and supplies are represented by neutrosophic trapezoidal fuzzy numbers. The neutrosophic trapezoidal fuzzy numbers are transformed into crisp numbers by using a ranking function and providing numerical examples to show the proposed method's efficiency to get the minimum optimal cost. Finally, we have demonstrated that our proposed method produced a better optimal solution to existing approaches by comparing its results to those of the existing ones.

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Vidhya mail -

Uma Maheswari mail -

Ganesan K. mail

link https://doi.org/10.54216/IJNS.230417

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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Fusion: Practice and Applications |

Smartphone Video Motion Deblur Modeled Based on Estimation Blur Parameter

many research approaches focus on image processing on smartphone platforms, visual object, augmented reality, object detection, tracking and recognition. sensor sizes are the main differences between camera smartphone and digital camera where sensor size is smaller in smartphone camera. image quality direct proportion with sensor size wherever the bigger get high quality. Most off smartphones featuring multiple cameras, multiple sensors in one device, but still none of them having large as digital camera. blur occur when there is relative motion between the camera and the object scene while capturing the image. blur, typically occur in low-light scenarios due to requiring exposures. lens blur doesn't change significantly all over the image while object motion is highly directional and changes abruptly depending on the objects. Paper present method deal with the main challenges occur in smartphone video platform. proposed method eliminates small motion blur in three phases. Blur estimation achieved by prior information on distribution image gradient. Orientation Gaussian Filter fit the prior information to find the regression coefficients. Multi order combine different estimate GOF parameters to generate removal blur filter. Estimation parameters are fix and set blur on the image to produce image without boosting the noise and unwanted artifacts. Proposed model generated images that have more details instead of directly minimize which is solve optimization problem by minimize loss function. Suggested method applies on outdoor, indoor video acquired by modern smartphone. Experiment result display is accurately for the full regression motion blur model. suggested model exam on video dataset conditions 23:75 sec, 229,44 MP. measurement evaluation established on time consumer, SSIM and PSNR. experimental results show image artifacts phase less consuming computational time. proposed model has minimized cost function and form image quality greater.

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Fusion: Practice and Applications |

Smartphone Video Motion Deblur Modeled Based on Estimation Blur Parameter

many research approaches focus on image processing on smartphone platforms, visual object, augmented reality, object detection, tracking and recognition. sensor sizes are the main differences between camera smartphone and digital camera where sensor size is smaller in smartphone camera. image quality direct proportion with sensor size wherever the bigger get high quality. Most off smartphones featuring multiple cameras, multiple sensors in one device, but still none of them having large as digital camera. blur occur when there is relative motion between the camera and the object scene while capturing the image. blur, typically occur in low-light scenarios due to requiring exposures. lens blur doesn't change significantly all over the image while object motion is highly directional and changes abruptly depending on the objects. Paper present method deal with the main challenges occur in smartphone video platform. proposed method eliminates small motion blur in three phases. Blur estimation achieved by prior information on distribution image gradient. Orientation Gaussian Filter fit the prior information to find the regression coefficients. Multi order combine different estimate GOF parameters to generate removal blur filter. Estimation parameters are fix and set blur on the image to produce image without boosting the noise and unwanted artifacts. Proposed model generated images that have more details instead of directly minimize which is solve optimization problem by minimize loss function. Suggested method applies on outdoor, indoor video acquired by modern smartphone. Experiment result display is accurately for the full regression motion blur model. suggested model exam on video dataset conditions 23:75 sec, 229,44 MP. measurement evaluation established on time consumer, SSIM and PSNR. experimental results show image artifacts phase less consuming computational time. proposed model has minimized cost function and form image quality greater.

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Journal of Intelligent Systems and Internet of Things | 2024

A Frequency Reconfigurable Graphene-Based Microstrip Antenna with Mushroom-Like EBG

The growing demand for wireless applications has led to network congestion issues. In response, network operators have recommended a transition to higher frequencies, particularly within the unlicensed millimeter-wave (mm-wave) spectrum. This shift aims to fulfill users' desires for rapid data transmission within personal networks, whether at home or in the office, exemplified by technologies like WiGig technology and indoor applications. However, a significant challenge in achieving high data transfer speeds within this frequency range lies in the design of the antenna. These antennas must strike a balance between size and performance.  Microstrip Patch (MP) antennas have gained recognition for their compact form and seamless integration into mobile communication systems. Nonetheless, they grapple with limitations such as poor gain and narrow bandwidth, largely attributable to surface waves negatively impacting antenna performance. In this study, we introduce, design, and optimize an MP antenna tailored for 60 GHz applications. To enhance the performance of the MP antenna, we introduce various mushroom-like Electromagnetic Bandgap (EBG) structures. These structures address the propagation of the surface waves issue that affects the antenna performance. Additionally, to create a tunable frequency antenna the variable conductivity of the graphene material is used in the form of implanted slots on the patch and tuned by applied DC voltage on the slots. Finally, the parameters of the MP antenna undergo enhancement based on simulation results obtained through CST software.

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Nora Ahmed Mohammed mail -

Ghufran abdulqader alhaddad mail -

Marwa S. J. mail -

Hasanain Jawad Radeef mail

link https://doi.org/10.54216/JISIoT.120111

Volume & Issue

Vol. Volume 12 / Iss. Issue 1

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Fusion: Practice and Applications | 2024

Adversarial Network Model Based on Feature Fusion Learner for Intrusion Detection in Sensor Networks

The adversarial machine learning approaches are modelled to provide a defence mechanism during the prediction of cloning and jamming attacks launched over the wireless communication process. The transmitter is supplied with a pre-trained classifier to analyze the status of the channel based on the sensing nature and determine the other transmission process. The learning method gathers all acknowledgements and fusion made between nodes and the channel's current state to build a learning model that can accurately identify the succeeding transmission constraint caused by network jamming. In this instance, compared to random jamming procedures, an inventive anti-clone detection strategy aims to minimize the number of clones and jamming found throughout the network model. The transmitter analyzes the power restrictions over the sensor networks using the learning-based fisher score (FS). Here, an adversarial network model (ANM-FS) is fused to diminish the computational time to collect the training dataset by examining the incoming samples. With this defence mechanism, the transmitter intends to predict the false prediction rate (FPR) and design a better model for providing a reliable classifier. Systematically, the transmitter identifies the floating of attacks over the network model and adopts the defending mechanism to mislead the injected clone, enhancing the throughput and reducing the prediction error. 

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P. Sherubha mail -

Mohammed Iqbal mail -

Aileen Chris mail -

Arivazhagi mail -

Nandhagopal Subramani mail

link https://doi.org/10.54216/FPA.150114

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

On Developing He Method with Mohand Transform to Find Numerical and Exact Solutions of Some Neutrosophic Partial Differential Equations

In this paper, we propose a novel combination of the (He) method with (Mohand transform), and this combination is summarized by representing the nonlinear part (or the residue of the operator) with (He) polynomials after applying the Mohand transform. To prove the accuracy of the proposed method, we applied it to several neutrosophic partial differential equations such as neutrosophic version of Helmholtz equation, neutrosophic version of non-linear oscillator, neutrosophic version of Burger's equation, and the neutrosophic version of telegraph equation. The accuracy and effectiveness of the application of the proposed method was verified by comparing the results obtained with other methods using the Maple software package.

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Nawar Hazim Mohammed mail

link https://doi.org/10.54216/IJNS.230418

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2024

Multipolar neutrosophic subalgebras/ideals of UP-algebras

The notion of neutrosophic m-polar fuzzy sets is much wider than the notion of m-polar fuzzy sets. In this paper, we apply the theory of neutrosophic m-polar fuzzy set on UP-algebras. We introduce the concepts of neutrosophic m-polar fuzzy subalgebras, neutrosophic m-polar fuzzy ideals and neutrosophic m-polar fuzzy strong ideals and some essential properties are discussed. We characterize neutrosophic m-polar fuzzy subalgebras in terms of fuzzy subalgebras and subalgebras of UP-algebras.

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V. Rajam mail -

N. Rajesh mail

link https://doi.org/10.54216/IJNS.230419

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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International Journal of Neutrosophic Science | 2024

Application of the Neutrosophic TOPSIS for the Analysis of the Violation of Due Process in Ecuadorian Adolescents

Due to the increase in violence in Ecuador involving juvenile offenders, an analysis of the situation is proposed from a neutrosophic approach to address the violation of due process in adolescents in Ecuador, highlighting the importance of considering the complexities and ambiguities of the juvenile penal system. Challenges are identified and classified through the PESTEL technique related to legal deficiencies, economic constraints, and socio-environmental factors contributing to juvenile delinquency, which are processed hermeneutically in a TOPSIS that uses single-valued neutrosophic numbers. The processing's main outcome is the influence of legal and economic aspects, thus the need to promote legal reforms, strengthen institutional capacities, invest in preventive programs, and support social reintegration and the responsible use of information technologies. The conclusions emphasize the importance of a comprehensive and coordinated approach to improve juvenile justice in Ecuador, ensuring respect for due process and the rights of adolescents.

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Teresa De Jesús M. Guitérrez mail -

Katherine T. Troya Terranova mail -

Erick M. Vásquez Llerena mail

link https://doi.org/10.54216/IJNS.230420

Volume & Issue

Vol. Volume 23 / Iss. Issue 4

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