International Journal of Neutrosophic Science

Journal DOI

https://doi.org/10.54216/IJNS

Submit Your Paper

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

Volume 22 , Issue 4 , PP: 111-120, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education

Fatma Taher 1 *

  • 1 College of Technological Innovation, Zayed University, Dubai, UAE - (Fatma.taher@zu.ac.ae)
  • Doi: https://doi.org/10.54216/IJNS.220410

    Received: June 22, 2023 Revised: August 20, 2023 Accepted: October 26, 2023
    Abstract

    Various educational barriers have negative impacts on teachers, organizations, and students. Identify these barriers and introduce some strategies that give benefits to organizations.   There are different conflicting barriers, so the concept of multi-criteria decision-making (MCDM) is used to deal with these barriers. We proposed an MCDM Framework to evaluate the education barriers and rank strategies to select the best one. We suggest a TOPSIS method to rank the alternatives. The TOPSIS method is integrated with the neutrosophic set to deal with uncertain information. The weights of the criteria are computed with the mean method. We collected ten barriers and nine strategies in this study. The results show that Promoting teacher motivation is the best of the nine strategies. We created a sensitivity analysis to show the model's effectiveness and the results' stability. The sensitivity analysis is made by changing the criteria weights and ranking the strategies. The results show that promoting teacher motivation is the best in all cases in sensitivity analysis.   

    Keywords :

    Neutrosophic Sets , MCDM , Uncertainty , Education , Decision Making , Decision Tools

    References

    [1]        E. H. McWhirter, “Perceived barriers to education and career: Ethnic and gender differences,” Journal of vocational behavior, vol. 50, no. 1, pp. 124–140, 1997.

    [2]        E. Hannum and J. Adams, “Beyond cost: Rural perspectives on barriers to education,” Creating wealth and poverty in postsocialist China, pp. 156–171, 2009.

    [3]        S. Flynn, J. Brown, A. Johnson, and S. Rodger, “Barriers to education for the marginalized adult learner,” Alberta Journal of Educational Research, vol. 57, no. 1, p. 43, 2011.

    [4]        C. A. Hansman, L. Spencer, D. Grant, and M. Jackson, “Beyond diversity: Dismantling barriers in education,” Journal of instructional psychology, vol. 26, no. 1, p. 16, 1999.

    [5]        J. Friebe and B. Schmidt-Hertha, “Activities and barriers to education for elderly people.,” Journal of Contemporary Educational Studies/Sodobna Pedagogika, vol. 64, no. 1, 2013.

    [6]        P. G. Watkins, H. Razee, and J. Richters, “‘I’m telling you… the language barrier is the most, the biggest challenge’: Barriers to education among Karen refugee women in Australia,” Australian Journal of Education, vol. 56, no. 2, pp. 126–141, 2012.

    [7]        C. I. Dotong, E. L. De Castro, J. A. Dolot, and M. Prenda, “Barriers for educational technology integration in contemporary classroom environment,” Asia Pacific Journal of Education, Arts and Sciences, vol. 3, no. 2, pp. 13–20, 2016.

    [8]        M. Tanye, “Access and barriers to education for Ghanaian women and girls,” Interchange, vol. 39, no. 2, pp. 167–184, 2008.

    [9]        M. Ainscow, “Collaboration as a strategy for promoting equity in education: possibilities and barriers,” Journal of Professional capital and community, vol. 1, no. 2, 2016.

    [10]      Abdullah Ali Salamai,  An Approach Based on Decision-Making Algorithms for Qos-Aware Iot Services Composition,  Journal of Intelligent Systems and Internet of Things,  Vol. 8 ,  No. 1 ,  (2023) : 08-16 (Doi   :  https://doi.org/10.54216/JISIoT.080101)

     [11]     M. Gul et al., “Fine–kinney-based occupational risk assessment using single-valued neutrosophic topsis,” Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment: Approaches, Case Studies and Python Applications, pp. 111–133, 2021.

    [12]      A. Abdelhafeez and M. Myvizhi, “Neutrosophic MCDM Model for Assessment Factors of Wearable Technological Devices to Reduce Risks and Increase Safety: Case Study in Education,” International Journal of Advances in Applied Computational Intelligence, vol. 3, no. 1, p. 41, 2023.

    [13]      Tamarah Alaa Diame, M. Abdul Jaleel M., Sajad Ali Ettyem, Raaid Alubady, Mohaned Adile, Mohd K. Abd Ghani, Hatıra Gunerhan,  Data Management and Decision-Making Process Using Machine Learning Approach for Enterprises,  Journal of Intelligent Systems and Internet of Things,  Vol. 8 ,  No. 1 ,  (2023) : 75-88 (Doi   :  https://doi.org/10.54216/JISIoT.080107)

    [14]      A. Abdelhafeez, H. K. Mohamed, and N. A. Khalil, “Rank and Analysis Several Solutions of Healthcare Waste to Achieve Cost Effectiveness and Sustainability Using Neutrosophic MCDM Model,” Neutrosophic Systems with Applications, vol. 2, pp. 25–37, 2023.

    [15]      N. A. Nabeeh, F. Smarandache, M. Abdel-Basset, H. A. El-Ghareeb, and A. Aboelfetouh, “An integrated neutrosophic-topsis approach and its application to personnel selection: A new trend in brain processing and analysis,” Ieee Access, vol. 7, pp. 29734–29744, 2019.

    [16]      H. Wang, Y. Luo, B. Deng, J. Lin, and X. Li, “Doctor selection based on aspect-based sentiment analysis and neutrosophic TOPSIS method,” Engineering Applications of Artificial Intelligence, vol. 124, p. 106599, 2023.

    [17]      Kismiantini,Shazlyn M. Shaharudin,Adi Setiawan,Rasyidhani Aditya Rizky,Salsa-Billa Syahida Al-Hasania,Murugan Rajoo,Hairulnizam Mahdin,Salama A Mostafa, Students’ Performance Prediction in Higher Education During COVID-19 Pandemic Based on Recurrent Forecasting and Singular Spectrum Analysis, Fusion: Practice and Applications, Vol. 13 , No. 1 , (2023) : 79-88 (Doi   :  https://doi.org/10.54216/FPA.130106)

    [18]      R. Roy, S. Pramanik, and T. K. Roy, “Interval rough neutrosophic TOPSIS strategy for multi-attribute decision making,” in Neutrosophic Sets in Decision Analysis and Operations Research, IGI Global, 2020, pp. 98–118.

    [19]      M. R. Argilagos, A. V. Herrera, and W. V. Valdiviezo, “Evaluation of Nutritional Education Strategies in Schools in Ecuador Using Neutrosophic TOPSIS,” International Journal of Neutrosophic Science, vol. 18, no. 3, pp. 208–217, 2022.

    [20]      Zenat Mohamed, Mahmoud M. Ismail, Amal Abd El-Gawad, Sustainable Supplier Selection using Neutrosophic Multi-Criteria Decision Making Methodology, 2023, Vol 3, Sustainable Machine Intelligence Journal

    [21]      Maryam Ghassan Majeed,Waleed Hameed,Noor Hanoon Haroon,Sahar R. Abdul Kadeem,Hayder Mahmood Salman,Seifedine Kadry, Optimizing Resource Management in Physical Education through Intelligent 5G-Enabled Robotic Systems, Fusion: Practice and Applications, Vol. 13 , No. 1 , () : 162-174 (Doi   :  https://doi.org/10.54216/FPA.130113)

    [22]      A. Karaşan and İ. Kaya, “Neutrosophic TOPSIS method for technology evaluation of unmanned aerial vehicles (UAVs),” in Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019, Springer, 2020, pp. 665–673.

    [23]      Dr. Miguel Ramos Argilagos,Dr. Alex Valencia Herrera,Dr. Walter Vayas Valdiviezo, Evaluation of Nutritional Education Strategies in Schools in Ecuador Using Neutrosophic TOPSIS, International Journal of Neutrosophic Science, Vol. 18 , No. 3 , (2022) : 208-217 (Doi   :  https://doi.org/10.54216/IJNS.1803018)

    [24]      S. Zaki, M. M. Ibrahim, and M. M. Ismail, “Interval Valued Neutrosophic VIKOR Method for Assessment Green Suppliers in Supply Chain,” International Journal of Advances in Applied Computational Intelligence, vol. 2, no. 1, pp. 15–22, 2022.

    [25]      S.-W. Lin and H.-W. Lo, “An FMEA model for risk assessment of university sustainability: using a combined ITARA with TOPSIS-AL approach based neutrosophic sets,” Annals of Operations Research, pp. 1–27, 2023.

    Cite This Article As :
    Taher, Fatma. Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. International Journal of Neutrosophic Science, vol. , no. , 2023, pp. 111-120. DOI: https://doi.org/10.54216/IJNS.220410
    Taher, F. (2023). Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. International Journal of Neutrosophic Science, (), 111-120. DOI: https://doi.org/10.54216/IJNS.220410
    Taher, Fatma. Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. International Journal of Neutrosophic Science , no. (2023): 111-120. DOI: https://doi.org/10.54216/IJNS.220410
    Taher, F. (2023) . Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. International Journal of Neutrosophic Science , () , 111-120 . DOI: https://doi.org/10.54216/IJNS.220410
    Taher F. [2023]. Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. International Journal of Neutrosophic Science. (): 111-120. DOI: https://doi.org/10.54216/IJNS.220410
    Taher, F. "Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education," International Journal of Neutrosophic Science, vol. , no. , pp. 111-120, 2023. DOI: https://doi.org/10.54216/IJNS.220410