International Journal of Neutrosophic Science

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Neutrsophic Health Analysis in Times of COVID-19

Marcelo Viteri Villa , Lester Wong Vázquez , Roberto Zúñiga Viteri

The current COVID-19 pandemic represents a danger for which efforts have been joined to find an effective treatment. This pandemic has evolved so quickly that new data emerge daily on the number of sick and fatal cases. As of September 2021, more than 180 countries with positive COVID-19 cases have been notified to the World Health Organization, including 228,807,631 confirmed cases, including 4,697,099 deaths. So far, the Americas region is the most affected with a total of 88,207,746 confirmed cases, and during this period, Ecuador has reported 246 new infections on average each day, for a total of 507,003 infections and 32,661 deaths. To date, dissimilar methods and treatments have been used to mitigate its effects. However, no effective treatment option has been found against it, generating uncertainty, social panic, and impacts on the population's mental health as a result of the fear of infection and death. That is why the present work focuses on analyzing and determining the alternatives for the control of detection of the pandemic, through the processing of the neutrosophic TOPSIS method. It offers many benefits in the analysis of neutralities to the study of indeterminacies in the field of Medicine. The processing using neutrosophic methods allowed obtaining the best alternative to fight against COVID-19.

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Vol. 18 Issue. 3 PP. 218-226, (2022)

Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis

Mohammed I. Alghamdi

Sentiment analysis (SA) is mainly employed to investigate the polarity of the sentiment existent in a content. It assist in understanding the opinions or feelings expressed by people. It find useful in several application areas such as e-commerce, education, etc. Natural language processing (NLP) and machine learning tools can be employed for SA. In this view, this study develops a Single Valued Neutrosophic Sets with Optimal Support Vector Machine (SVNS-OSVM) model for SA. The major intention of the SVNS-OSVM model is to identify the existence of sentiments exist in the data. The SVNS-OSVM model initially performs data pre-processing to transform the input data into a useful format. In addition, SVNS model is applied to derive word embeddings. Then, SVM model is applied for the detection and classification of sentiments. At the last level, the improved particle swarm optimization (IPSO) algorithm is used to fine tune the parameters involved in the SVM model. For ensuring the improved outcomes of the SVNS-OSVM model, a wide range of simulations were performed and the results are inspected under several aspects. The comparative study highlighted the betterment of the SVNS-OSVM model compared to recent approaches.

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Vol. 18 Issue. 3 PP. 227-237, (2022)

Blockchain in Healthcare from a Neutrosophic Analysis

Kenia Peñafiel Jaramillo , Jhofree Prado Quilambaqui , Jorge Marcelo Quintana Yanez

According to experts, the blockchain is very suitable for supply chains, as it streamlines processes and reduces their complexity. Both the pharmaceutical and health sectors can take advantage of their potential since, having different intermediaries, processes can become inefficient on many occasions. Blockchain contributes to bringing order and automation. The pharmaceutical sector has been one of the ones that have obtained the most advantages from this technology. Getting a drug out of the box is a long and expensive process that can take a long time between studies and clinical trials and all the regulations. However, if it is possible to gather all the information needed to complete the process of bringing a new drug to light so that it is available immediately and with all the safety guarantees and improve its management, speed up the process. Therefore, blockchain is the most appropriate technology, although the ability to government bodies to recognize the network's benefits is hampered. This study is focused on determining the level of integration of Blockchain technology in the health sector, and the level of acceptance and contradiction in the adoption of the new technology in the community through the application of the neutrosophic Iadov method.

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Vol. 18 Issue. 3 PP. 177-188, (2022)

Analysis of the Success Factors of the Quality of E-learning in the Medical School in a Neutrosophic Environment

Lina Espinioza Nery , María de los Angeles Galarza Pazmiño , Diana Jordan Fiallos , Said Broumi

The COVID-19 pandemic has affected the presence of students in the classroom, especially in medical schools where the practice is essential to gain skills. Virtual teaching or e-learning has emerged as the answer to that problem in this environment. Despite its many advantages, this process has faced different problems that have been overcome thanks to success factors. Considering the need to search for quality in medical schools in Ecuador, a study was carried out on those applied factors that have contributed to guaranteeing the quality of the teaching-learning process. That is the main objective of this research, supported by the bibliographic search and Plithogeny. It can be concluded that the highest level of impact has been made possible by the combination of the correct use of Information and Communication Technologies with adequate teacher training.

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Vol. 18 Issue. 3 PP. 189-198, (2022)

Neutrosophic DEMATEL in the Analysis of the Causal Factors of Youth Violence

Maikel Leyva Vázquez , Patty Elizabeth Del Pozo Franco , Alex Javier Peñafiel Palacio

This study is based on conducting surveys and multicriteria decision methods to determine the main factors influencing youth violence in Ecuador. To do this, a sample made up of young perpetrators of various types of crimes and other agents involved in the process in the city of Guayaquil is analyzed. The analysis carried out is based on the use of the DEMATEL method in its neutrosophic version so that the indeterminacies of the real world can be handled. The result obtained reveals that the factors with the highest incidence in youth violence in the analyzed sample are substance abuse or delinquency by parents, poor surveillance and supervision of children by parents, poor disciplinary practices, and emotional deficiencies of the parents, as well as exposure to domestic violence. It is recommended that prevention actions to minimize the proliferation of youth violence focus on these aspects for greater optimization of the results.

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Vol. 18 Issue. 3 PP. 199-207, (2022)

Evaluation of Nutritional Education Strategies in Schools in Ecuador Using Neutrosophic TOPSIS

Dr. Miguel Ramos Argilagos , Dr. Alex Valencia Herrera , Dr. Walter Vayas Valdiviezo

The need to guarantee a healthy diet and lifestyle in the country's educational centers has become an urgent need if the future of Ecuadorian society is to be improved. In this framework, educational institutions can play a fundamental role in understanding that optimal nutrition is essential for the health, well-being, and cognitive and social development of the younger population and the economic growth of communities and the well-being of future generations. This study proposes a breakdown of various strategies to promote healthy nutritional habits in educational centers throughout the country and evaluates the proposed alternatives to assign an order of priorities based on certain criteria. For this, the TOPSIS method is used in its neutrosophic version so that the vagueness and indeterminacies of the real world can be handled. The results obtained show that, of the five proposed alternatives, it is preferred to implement, firstly, the creation of a school environment for the promotion of healthy diets through the creation of orchards as a pedagogical tool, and secondly, in order of preference, conducting awareness programs on the importance of producing and consuming chemical-free products through educational fairs, communication campaigns, and other school activities.

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Vol. 18 Issue. 3 PP. 208-217, (2022)

On Neutrosophic Generalized Semi Generalized Closed Sets

Qays Hatem Imran , Ali H. M. Al-Obaidi , Florentin Smarandache , Said Broumi