An Introduction to The Symbolic Turiyam Groups and AH-Substructures

A. Alrida; Katy D.; Rozina

doi:https://doi.org/10.54216/JNFS.030205

International Journal of Neutrosophic Science | 2022

Distance of Similarity Measure under Neutrosophic Sets to Assess the Challenges of IoT in Supply Chain and COVID-19

The globe has been coping with the COVID-19 epidemic, eagerly awaiting the completion of the vaccine process. Despite the Internet of Things (IoT) and its effect on supply networks, the recent epidemic has brought unprecedented supply chain disruptions. To assess the relevance of these issues, we speak with leading specialists. A novel distance-based similarity metric based on neutrosophic set theory is being used in this research to examine IoT challenges in the supply chain. The proofs for each of the properties are provided straightforwardly.

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R. Martínez Martínez mail -

P. E. Acurio Padilla mail -

J. E. Jami Carrera mail

link https://doi.org/10.54216/IJNS.180426

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2022

Neutrosophic Near-Subtraction Semigroups and its Application

Potential mechanisms for dealing with water resources are provided by water resource management (WRM). To determine agricultural water resources, a new multi-criteria water resource management approach was created in this work. The management of agricultural water resources has become a major issue in the current circumstances. To create this circumstance, a multi-criteria approach is required. We were able to address a real-world water resource management issue using the suggested multi-criteria decision-making technique. The neutrosophic TOPSIS environment has been taken into account in this decision-making dilemma. Summertime water demand is high, and towards the end of summer, when monsoon season arrives, water demand is low in the agricultural field. During the monsoon season, it is not uncommon for rain to fall just in parts. In agriculture, growing crops during the monsoon season was difficult at the time. As a result, the nature of the water shortage in this area is non-linear and unclear. Because of this, we suggested an MCDM technique for WRM issues in a neutrosophic TOPSIS -environment context.

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F. Viscaino Naranjo mail -

A. R. León Yacelga mail -

B. E. Villalta Jadan mail

link https://doi.org/10.54216/IJNS.180427

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2022

Construction of Sanda Teaching risk assessment index system using neutrosophic AHP method

To build a strong country, build strong teaching. But teaching surrounding multiple risks. So this paper aims to identify and assess risks in teaching. The assessment risks in sanda teaching is a critical task and contain multiple conflict criteria. So we use Multi-Criteria Decision Making (MCDM). In this paper, we use an Analytical Hierarchy Process (AHP) to rank and compute each criterion's weights. We use five main and twenty sub-criteria. These criteria were evaluated under a neutrosophic environment—an example provided to present the outcomes of the proposed model. 

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A. B. Bonilla Rodríguez mail -

M. F. Cueva Moncayo mail -

F. B. Morocho Quinchuela mail

link https://doi.org/10.54216/IJNS.180428

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2022

Application of new media retrieval system based on Neutrosophic in marketing

The new media is a crucial ply role in the market. The new media growth rapidly in the market so, select consumers and companies for competition. So, the new media is a complex task for companies and firms. The new media retrieval contains much content such as image retrieval, audio and video retrieval. The new media retrieval contains many criteria, and each criterion contains sub-criteria. So, use an MCDM method for dealing with this problem. The new media retrieval system is analyzing under a neutrosophic environment. The Decision-making trial and evaluation laboratory (DEMATEL) integrated with single-valued neutrosophic. DEMATEL method used to show importance and impact criteria of new media retrieval for helping companies in market competition. An example is provided for showing calculations.       

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S. del Rocío Á. Hernández mail -

L. Álvarez Gómez mail -

Miriam J. P. Burbano mail

link https://doi.org/10.54216/IJNS.180429

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2022

Predicting the actual use of social media sites among university communicators: using PLS-SEM and ML approaches

Studies on the acceptance of social media apps are being conducted at an increasing rate. The factors influencing its popularity for learning reasons are still not well understood, though. The goal of this study is to create a conceptual model that extends the Technology Adoption Model (TAM) to account for perceived playfulness to gauge students' acceptance of social media in learning. A total of 623 authenticated questionnaire surveys were obtained from students enrolled at a reputed university in the United Arab Emirates (UAE). Tools such as partial least squares-structural equation modeling (PLS-SEM) and machine learning approaches were obtained to examine the collected data. According to the research findings, significant parameters of students' intention to use social media networks for education include perceived playfulness, perceived usefulness, and perceived ease of use.

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Aseel M. Alfaisal mail -

Aisha Zare mail -

Afrah Alshaafi mail -

Rose Aljanada mail -

Raghad M. Alfaisal mail -

Ghadeer W. Abukhalil mail

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

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2022

The acceptance of metaverse system: a hybrid SEM-ML approach

The outbreak of COVID-19 led to the foundation of modern techniques of learning which involves metaverse. Specifically in the medical field, where cross-border medical training became out of question. Opportunities for medical students to practice were greatly reduced as there was very less physical interaction with patients due to the COVID-19 pandemic. However, metaverse proved to be of great help for medical staff to gain education virtually who came to the UAE to acquire proficient skills related to medical technology. New digital approaches based on metaverse technology are evolving in the UAE medical groups to address restrictions arising by using current teleconferencing platforms like Zoom in providing effective medical training. The goal of this research is to find out the effect of using the metaverse system for medical training in the UAE and students’ perceptions of it. The adoption features of trialability, observability, perceived pleasure, perceived ubiquity, perceived worth, personal innovativeness, and Technology Acceptance Model (TAM) components are all included in the conceptual model. The study’s novelty comes from its conceptual model, which links both personal and technology-based elements. Furthermore, the present work will employ a novel approach of hybrid analysis to perform machine-learning (ML) based structural equation modeling analysis (SEM). In addition, this study is assisted by importance-performance map analysis (IPMA) to evaluate the performance and importance of presumed factors. As this work is one of the rare attempts to utilize machine learning algorithms in predicting the intention to use metaverse systems, the methodological aspect of the study is also of great use. The adoption of a complementary multi-analytical approach is thought to provide a novel contribution to the information systems (IS) field. This study is also significant in assisting medical authorities to judge the importance of each factor and guiding them to opt for relevant strategies and techniques depending on the significance of the factors.

groups

Raghad M. Alfaisal mail -

Aisha Zare mail -

Aseel M. Alfaisal mail -

Rose Aljanada mail -

Ghadeer Wael Abukhalil mail

link https://doi.org/10.54216/IJAACI.010103

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of Advances in Applied Computational Intelligence | 2022

Employees Motivational Factors toward Knowledge Sharing: A Systematic Review

Knowledge sharing between employees in positions at different levels in the organization chart is always a big challenge. It is important to study the main factors that affects employees’ knowledge. A number of literature reviews that sheds the light on knowledge management (KM) was conducted, which focuse on the employee knowledge sharing motivations. However, analyzing the knowledge sharing among employees is still questioned and requires further examination. The main objective of this systematic review is to analyze the state-of-the-are KM studies that involved the factors that affect employees’ intention to share their tacit knowledge. In this systematic review, we explored the tacit knowledge sharing and reviewed 115 recent papers. After filtering and reviewing we extracted many factors, then we categorize them into twelve categories: (ordered by most frequent studied), namely: trusting environment, culture, organization encouragement, rewards, Information system, intrinsic motivations, equal opportunities, job security, the community of practice, time pressure, knowledge confidence and accuracy, and years of experience. This systematic review is important to organizations which seek to share, preserve tacit knowledge and experiences, and gain competitive edge.

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Hani D. Hejazi mail -

Ahmed A. Khamees mail

link https://doi.org/10.54216/IJAACI.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

N-Cylindrical Fuzzy Neutrosophic Sets

In this paper, we introduce a new type of fuzzy Neutrosophic set called n-Cylindrical fuzzy Neutrosophic set (n-CyFNS), with I as independent neutrosophic component. The n-CyFNS can be claimed as the largest extension of fuzzy sets. In n-CyFNS, the degree of positive, neutral and negative membership functions are satisfying the condition, 0≤ βA(x) ≤1 and 0≤ αA n(x) + γAn(x) ≤ 1, n>1, is an integer.  Also the distance between two n- CyFNS and its properties are also defined. Along with basic operations on n- CyFNSs, we put forward two concepts-Neutrosophic affinity degree & Neutrosophic similarity index which is used to compare and correlate n-CyFNSs respectively. A comparison is made in the n-CyFNS environment using the existing correlation measures to check its reliability.

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Sarannya Kumari R mail -

Sunny Kalayathankal mail -

Mathews George mail -

Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.180430

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2022

On Some Open Problems About n-Cyclic Refined Neutrosophic Rings And Number Theory

The objective of this paper is to present 40 open problems about the n-cyclic refined neutrosophic rings. These questions concern the n-cyclic refined neutrosophic rings, n-cyclic refined neutrosophic number theory, and n-cyclic refined neutrosophic analysis. They will represent the future of the study of neutrosophic n-cyclic refined rings and the related structures.

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A. Alrida Basheer mail -

Katy D. Ahmad mail -

Rozina Ali mail

link https://doi.org/10.54216/JNFS.030204

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2022