Neutrosophic Multi-Criteria Decision-Making for Flood Risks Management: A Comprehensive Analysis

Abdullah Ali

doi:https://doi.org/10.54216/JNFS.050204

Journal of Neutrosophic and Fuzzy Systems | 2021

Human brain tumors detection using neutrosophic c-means clustering algorithm

For the last several decades, detecting human brain tumors has evolved into one of the most difficult problems in the field of medical research. In the realm of medical image processing, the categorization of brain tumors is a difficult job to do. In this research, we offer a model for the detection of human brain tumors in magnetic resonance imaging (MRI) images that makes use of the template-depend neutrosophic c-means and is compared with the fuzzy C means method. This model is referred to as the NCM method. In this suggested method, well first of all, the pattern K-means method is used to initialize segmentation markedly through the ideal choice of a template, depending on the gray-level intensity of the image; besides which, the revised membership is calculated by the ranges from the closest centroid to cluster pieces of data by using neutrosophic C-means (NCM) method while it approaches its perfect outcomes; and at last, the NCM clustering method is used for sensing tumor positron emission tomography (PET) imaging The findings of the simulation reveal that the suggested method can produce improved identification of pathological and normal cells in the human brain despite a little separation in the intensity of the grey level.

groups

Nihal N. Mostafa mail

link https://doi.org/10.54216/JNFS.010106

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2021

Neutrosophic-based machine learning context for the trustworthiness of devices in the internet of things

The industrial sector is among the most suited sectors that may considerably advantage from the implementation of the ideas and technology of the Industrial Internet of Things (IIoT), and it is one of the most competitive industries in the world. The increased use of automated processes in manufacturing sectors results in a wide variety of applications based on IIoT. These applications call for the efficient integration of a wide variety of different systems and the execution of smooth operations across all machines. The issue of integration and smooth operation presents IIoT as a new subject of study in smart manufacturing. This carries with it several problems, including those on security, accountability, confidence, and dependability. As part of the Industrial Internet of Things (IIoT), many devices will be linked to one another and interact with one another through wireless and internet infrastructure. When this kind of situation plays out, the reliability of the IIoT devices becomes a key component in the process of preventing injection by hostile machines. As a result, an intelligent computer model is required to effectively cluster and categorize the level of trustworthiness possessed by the IIoT devices. In this article, we describe a trust model for the Internet of Things (IIoT) that is based on the neutrosophic TOPSIS and is utilized by IIoT apps to determine the trust score of IIoT devices. The reliability of devices is evaluated by the model that was constructed using the historical knowledge, chronological knowledge, and network behavior information that is received from IIoT devices. In addition to that, the model suggests KNN, and a Decision tree to categorize the attributes that were collected.

groups

Abdullah Ali Salamai mail

link https://doi.org/10.54216/JNFS.010107

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

Algebraic Approach to Neutrosophic Confidence Intervals

In this paper, confidence intervals for neutrosophic statistical populations were driven in many cases. Firstly, confidence intervals for one neutrosophic normal population parameters were driven including population’s mean which was driven under the assumption that variance is known, then it was driven under the assumption that variance is unknown and estimated based on the sample. Confidence interval for the neutrosophic variance was also driven based on sample’s estimates. Secondly, confidence intervals for two neutrosophic normal populations were driven including confidence intervals for means differences when variance are known or unknown, also confidence intervals for variances ratio for two populations were driven. All theorems and calculations were done using the AH-Isometry. Suitable numerical examples were presented and solved successfully.

groups

Abdulrahman Astambli mail -

Mohamed Bisher Zeina mail -

Yasin Karmouta mail

link https://doi.org/10.54216/JNFS.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems | 2021

An Integrated Neutrosophic MCDM Methodology for Material Selection

Choice of materials is difficult since it requires considering several factors, assigning relative importance to those criteria, and ultimately choosing the most relevant criterion. Finally, it is important to set the criteria in a way that takes into account both the known material attributes and the needs of the application. Therefore, MCDM techniques may be used to the process of selecting materials. A possibility of incomplete dilemmas arises due to the decision maker's language inputs. Therefore, the inputs might be supplied as fuzzy numbers in order to circumvent the issue. Considering that a neutrosophic set is a metaphor to overcome uncertainty of human perceptions. To assess this recruitment process in a neutrosophic setting, this paper employs a neutrosophic-based version of the MCDM tool TOPSIS to determine which alternative materials should be used for the center console of an electric car.

groups

Ahmed Abdelmonem mail -

Mahmoud M.Ismail mail

link https://doi.org/10.54216/JNFS.010108

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2021

Neutrosophic AHP Method with Machine Learning Algorithms to The Priority of Maintenance in the Facility of Healthcare

The creation of decision-support techniques that can be used in the planned preservation and recertification ordering of healthcare facility investments is regarded as an assignment of extremely high difficulty due to the multitude of ambiguity and levels of individuality that is accessible in a decision-making procedure of this nature. This research employs a mixture of Neutrosophic logic and the Analytical Hierarchical Process (AHP) to generate a trustworthy score of hospital structure facilities depending on their varying levels of evaluation and achievement deficiencies. This is done to reduce the partiality that is related to expert-driven choices and to make the rankings more objective. This is additionally merged with the innovative use of machine learning techniques in this field, specifically: Random Forest, and Naive Bayes, to automate the process of setting priorities and making it reproducible, thereby reducing the essential for extra professional decisions.

groups

Nihal N. Mostafa mail -

Ibrahim Elhenawy mail

link https://doi.org/10.54216/JNFS.010208

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Sustainable Development and Green Technology | 2023

Tax Management Research, Bibliometric Analysis Using Keywords and Abstracts

The challenges derived from tax operations in different jurisdictions make the management of tax obligations increasingly complex. Taking this into account, a bibliometric analysis is proposed to shed light on the content of the publications from a word analysis to identify research topics in a set of publications and establish relationships between concepts. The findings show a dominance of two large clearly segmented clusters: on the one hand, multinational companies trying to better manage their profits; and on the other, the Tax Agency trying to avoid tax evasion at all costs.

groups

Sonia Elizabeth Ramos-Medina mail

link https://doi.org/10.54216/JSDGT.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

An integrated Neutrosophic sets with MCDM methodology for location-allocation of relief centers

To aid those who have been affected by an earthquake, it is necessary to set up temporary relief facilities. The careful selection of suitable locations for these centers has a considerable impact on the procedures involved in the handling of urban emergencies. In this study, the decision model known as the VIKOR was used to determine the placement of relief centers in Cairo's district and the distribution of available space among them. The selection best location contains uncertainty, so the interval-valued neutrosophic sets were used to overwhelmed this vagueness. To begin, we will use VIKOR, which is the suggested clustering approach. The average method is used to compute the weights of selected criteria. Then the VIKOR technique is used to order and select the best location. The results of the implementation demonstrate that VIKOR, the clustering approach, is adequate in most situations. This strategy is suited for resolving such difficult site selection and allocation issues.

groups

Ahmed Abdelmonem mail -

Nehal Nabil Mostafa mail

link https://doi.org/10.54216/JNFS.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Does Financial innovation improve Financial Inclusion in African countries?

  This paper aims to investigate the link between financial innovation and financial inclusion as measured by the number of depositors in commercial banks per 1000 adults, and financial innovation, as assessed by the number of ATMs and the ratio of bank credit to the private sector. Cross-sectional data for six African nations from the years 2006 to 2020 were used to specify and evaluate an econometric model based on previous studies. It was performed using the SUR (Seemingly Unrelated Regression) approach. The results demonstrate the beneficial role played by financial innovation in advancing the financial inclusion process in Africa, including the development of new services via ATMs and the issuance of credit to the private sector. Few studies concentrate on the link between financial innovation and financial inclusion, despite the theoretical and empirical literature focusing more on their determinants. This study intends to enrich the field by exploring the link between financial innovation and financial inclusion in six African economies during the period from 2006 to 2020.

groups

EL Yamani Rachida mail

link https://doi.org/10.54216/JSDGT.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

A Study of Derivative and Integration a Neutrosophic Functions

The objective of this paper is to study and define the neutrosophic real functions with one neutrosophic variable depending on the geometric isometry (AH-Isometry), with a lot of concepts from real analysis including continuality, differentiability, derivativility, integrability. We have presented the formal forms of different popular functions in neutrosophic environment like logarithmic function, exponential function, trigonometric functions. Rising neutrosophic derivative, indefinite integral, and definite integral well defined including rising to neutrosophic functions.

groups

Ahmed Salamah mail -

Malath F. Alaswad mail -

Rasha Dallah mail

link https://doi.org/10.54216/JNFS.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

Neutrosophic Multi-Criteria Decision-Making for Flood Risks Management: A Comprehensive Analysis

The terrible consequences that floods are having on human life and property can be seen all around the globe. The flood risks management problem is subject to uncertain and imprecise data, and it is influenced by several different factors. As a result, the assessment procedure in question might be seen as an instance of a challenging uncertain multi-criteria decision-making (MCDM) issue. Within the context of single-valued neutrosophic sets (SVNSs), this research aims to present a novel integrated methodology that is based on the Combined Compromise Solution (CoCoSo) technique under a neutrosophic environment. Both the decision-makers and the weights of the criteria are completely unknown. The average technique is used in the proposed methodology to calculate the weighting of the criteria, and an updated version of the CoCoSo method is used within the context of the SVN to decide which option is the most appropriate. In addition, an example case study of flood risk management is explored to highlight the entire execution process of the suggested technique. In addition, a comparison with other approaches that already exist is described to evaluate the validity of the results that were achieved.

groups

Abdullah Ali Salamai mail

link https://doi.org/10.54216/JNFS.050204

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new