The neutrosophic-based analysis assessment framework: An assessment strategy to promote soft computing in educational contexts

Mohamad Ariffin Abu Bakar; Ahmad Termimi Ab Ghani; Mohd Lazim Abdullah

doi:https://doi.org/10.54216/IJNS.250334

Fusion: Practice and Applications | 2025

A Comprehensive Data Fusion Analysis for Virtual Tourism Systems

Recently, it has been observed that the tourism industry is undergoing a fundamental change due to the rapid development of virtual tour technologies, especially artificial intelligence. This paper therefore aims to provide an overview of this new development from the early 2000s to the current environment in global tourism. We present, in a historical context, the main developments and applications of virtual tours and AI through a systematic review of literature, industry reports and empirical data from different sectors of the tourism industry. Our findings suggest that the adoption of the technologies under review, enhanced by data fusion, has significantly reshaped the way tourism experiences are conceptualized, delivered, and consumed. Data fusion combines information from multiple sources, enabling richer insights and a more comprehensive understanding of traveller behaviours and preferences. While virtual tours have emerged as a powerful tool for destination marketing, cultural preservation, and accessibility, AI, combined with data fusion, has also transformed the landscape by enabling more personalized travel planning, responsive customer service, and data-driven decision-making. This integration allows tourism providers to create seamless and engaging experiences tailored to individual needs, making tourism more accessible and efficient. In each case, these innovations have raised important questions about authenticity, sustainability, and the future of traditional tourism business models. We will present a critical comparison of virtual and physical tourism experiences in different regions and market segments, providing insights into the interplay of technological innovation, economic imperatives, and socio-cultural dynamics in the digital age. We conclude by reflecting on the implications for post-pandemic recovery, responsible tourism and global cultural exchange through virtual tours and AI. The findings of the study add to the growing body of knowledge on the digitalization of tourism and provide useful insights for practitioners, policy makers and researchers interested in the rapidly changing landscape of this industry.

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Muhammad Eid Balbaa mail -

Olim Astanakulov mail -

Oybek Khayitov mail -

Kurbon Rakhmanov mail -

Sanjar Mirzaliev mail

link https://doi.org/10.54216/FPA.170223

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

Computation of Weighted PI Index of Lexicographic product graphs and for Silicates Networks

The study of chemical compounds’ molecular structures is one of the most cutting-edge uses of graph theory, along with computer science, nanochemistry, network design in electrical and electronic engineering, and the depiction of graphs in Google Maps. The degree and distance between vertices of a graph are the basis for examining topological indices. The formula for computing the Weighted Padmakar Ivan index (WPI) of a graph G is PIw(G) = P e∈E(G) [(dG(u) + dG(v)][|V (G)| − NG(e)].

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Hemalatha Rangasamy mail -

Kanagasabapathi Somasundaram mail -

Sandhiya Pechimuthu mail

link https://doi.org/10.54216/IJNS.250328

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

Estimation of Population Mean using Neutrosophic Exponential Estimators with Application to Real Data

One of the traditional problems in survey sampling is to estimate the population parameter like mean variance etc. This article investigates the mathematical derivations and application of neutrosophic statistics to address the challenges posed by imprecise, indeterminacies or ambiguous data, such as daily stock prices, weather forecast, social media sentiment and temperatures. The suggested estimators are highly useful for computing results while working with unclear, hazy, and neutrosophic-type data. These estimators produce answers that are interval-form rather than single-valued, which may give our population parameter a better chance of being off. We propose three novel neutrosophic exponential ratio-type estimators for the population mean, utilizing information of neutrosophic auxiliary variables. Expressions for bias and mean square error (MSE) of these estimators are derived using first-order approximations to assess their performance in terms of accuracy. To demonstrate their effectiveness, we apply the proposed estimators to real-life neutrosophic data sets. Additionally, a simulation study shows that our estimators outperform existing methods in terms of MSEs and percentage relative efficiency (PREs). This study further expands its originality by including pre-existing estimators into the neutrosophic framework, showcasing its versatility and adaptability. The results suggest that neutrosophic statistics provide a robust framework for analyzing uncertain data, facilitating more reliable decision-making in various applications.

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Anjali Singh mail -

Poonam Singh mail -

Prayas Sharma mail -

Badr Aloraini mail

link https://doi.org/10.54216/IJNS.250329

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

Lindel ”Ofness Spaces in NTH Topological Spaces

In this study, the lindel”of property of spaces will be examined across nth topologies, referred to as nthlindel” of spaces. Furthermore, the characteristics of these spaces will be analyzed in relation to lindel¨o]f spaces and tri-Lindelf spaces. Several theoretical results have been presented and proven, and various well-known theorems concerning Lindel?f spaces have been extended to accommodate nth topologies. An illustrative examples are provided to support the findings.

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Jamal Oudetallah mail -

Rehab Alharbi mail -

Salsabiela Rawashdeh mail -

Ala Amourah mail

link https://doi.org/10.54216/IJNS.250330

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

Fusion: Practice and Applications | 2025

The effectiveness of using Box-to-Box technology to develop some of the composite physical and technical capabilities of footballers

This study aimed to measure the impact of using "Box-to-Box" technology in improving physical and technical abilities for football players under 19 years old at Najma Sinai Sports Club, North Sinia the research highlights the global appeal of football but also offers insight into how advancements in training can help to improve player performance, some teams tend to cling old-school tactics which undermine progress. The study evaluated a 12-week "Box-to-Box" training program using an experimental design with pre and post intervention measurements for 23 players. The results showed that while agility, endurance, speed, and muscle strength test scores significantly improved; passing accuracy and dribbling efficiency were also enhanced during composite skill performance. These findings reaffirm that "Box-to-Box" Training is the way to go for developing key competencies and improving performance, in general. The study suggests including this new technology in traditional training routines, asserting that it has now become essential for player assessment and improvement. It also proposes a wider perspective on the long-term use of "Box-to-Box" technology in different populations and sports, as well as new functional training for specific football positions.

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Amr Mohamed El Koshiry mail -

Entesar Eliwa mail -

Ahmed Abd Allah Tony mail -

Ahmad Shalgham mail

link https://doi.org/10.54216/FPA.170224

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2025

Improving the Prediction of Evaporation Variable in Mosul Dam Using ARIMA Model and Time Series Analysis

Evaporation plays a significant role in managing water resources and is an important indicator in risk and crisis management, particularly in operating reservoirs and dams. Precise predictions of evaporation rates are crucial to effective water resource management, and various modelling methods, including AI and autoregression, have been employed to create accurate models. This makes it more important to use innovative technology to continuously monitor this phenomenon with accurate scientific results, allowing decision-makers to be aware of and prepare for potential drought risks and crises. In this study, therefore, we propose the establishment of a mechanism that would include analyzing and exploring the data used in this study (Evaporation) and cleaning up the impurities of actual and lost values to obtain accurate data that would serve as actual inputs to ARIMA model that will adopt in this study, This mechanism would contribute to the performance and efficiency of this model using time series data to accurately predict future trends of evaporation plants in the water of the Mosul dam. Our objective is to explain the diversity of climate policies and actions using a data-based approach to analyzing integrated parameters over the years, etc. This is complemented in depth by how different methods of extracting data behaviour are used to study model forecasts. This collaborative study aims to enhance future studies by using more comprehensive datasets with more learning models. The researchers believe in the power of sharing knowledge and are thus committed to sharing the results of other causes outside of global warming that contribute to climate change.

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Khalid MK Khafaji mail -

Bassem Ben Hamed mail

link https://doi.org/10.54216/FPA.170225

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

Cubic Spherical Linguistic Neutrosophic Topological Space

In this article, we introduce and establish a novel concept called ’cubic spherical linguistic neutrosophic topological spaces’ by employing cubic spherical linguistic neutrosophic sets and topological frameworks. Various foundational definitions, theorems, and properties are provided along with illustrative examples.

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S. Sathyapriya mail -

V. Jeyanthi mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.250331

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

Some Types of Nth-Locally Compactness Spaces

This work focuses on nth-locally compact spaces, which are topologies with locally compactness properties. Furthermore, the properties of these spaces will be studied in terms of locally compact spaces. Theoretical conclusions have been given and proven, and well-known theorems for locally compact spaces have been extended to nth-topologies. An instance case is offered to back up the findings.

groups

Rehab Alharbi mail -

Jamal Oudetallah mail -

Salsabiela Rawashdeh mail -

Ala Amourah mail

link https://doi.org/10.54216/IJNS.250332

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

An Exploration of Hesitant Fuzzy Normed Linear Space

In this paper, the notion of hesitant fuzzy norm based on the Bag-Samanta’s Type Fuzzy Norm on linear space has been introduced. Further the concepts of ascending family of semi-norms, convergence and fuzzy continuous linear operators are studied in hesitant fuzzy normed linear space.

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Prakasam Muralikrishna mail -

Krishnamoorthy Kavitha mail

link https://doi.org/10.54216/IJNS.250333

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2025

The neutrosophic-based analysis assessment framework: An assessment strategy to promote soft computing in educational contexts

Today's educational assessment strategies require innovation and digital transformation in order to overcome biases towards data orientation in uncertain, ambiguous, and fuzzy conditions. Neutrosophic-based analysis techniques in educational assessment provide a thoughtful and highly effective approach to calibrating student learning abilities. However, there is a lack of access to resources and complete guidance on implementing soft computing methods like neutrosophic sets, resulting in a gap in knowledge and practice. Research and development have shown that neutrosophic-based analysis techniques can explain the formulation and algorithms used in multi-criteria decision-making approaches. Since educational assessment also involves decision making, this paper proposes a neutrosophic-based analysis assessment framework aimed at transforming assessment strategies in education to promote soft computing. The development of this paper will begin by reviewing the literature and conducting a preliminary study, highlighting the benefits of the neutrosophic set, and then forming a framework and operational design for the assessment strategy in a systematic manner. Illustrations with numbered data will be used to explain the suitability and usability of this framework for real educational assessment. The implications of calibrating the factors that have the strongest influence on students' mathematics learning demonstrate that this assessment framework can be expanded as an innovative and flexible approach to assessment, capable of improving the efficiency of data analysis in real learning environments. This framework and initiative can be used synergistically to improve the quality of education by incorporating digital elements and providing strong support for the Sustainable Development Goal (SDG).

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Mohamad Ariffin Abu Bakar mail -

Ahmad Termimi Ab Ghani mail -

Mohd Lazim Abdullah mail

link https://doi.org/10.54216/IJNS.250334

Volume & Issue

Vol. Volume 25 / Iss. Issue 3

Details open_in_new