Volume 14 • Issue 2 • PP: 199-210 • 2024
Teaching risk assessment index system using neutrosophic AHP: Data Fusion method
Open Access & Copyright
© 2024 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abstract
The technology behind data fusion and picture instruction is continuously advancing along with the progression of society, and new applications for these skills are increasingly becoming available in everyday life to accommodate the expansion of scientific and technological knowledge. The term "data fusion technology" relates to a computer processing method that allows the use of a computer to automatically analyze and synthesize several observation data gleaned in time series in accordance with criteria to complete the necessary decision-making and evaluation tasks. But teaching surrounding multiple risks. This paper aims to identify and assess risks in teaching. The assessment risks in teaching are a critical task and contain multiple conflict criteria. 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.
Keywords
References
[1] S. D. Kolstø, “Patterns in students’ argumentation confronted with a risk‐focused socio‐scientific issue,” International Journal of Science Education, vol. 28, no. 14, pp. 1689–1716, 2006.
[2] J. Hansen and M. Hammann, “Risk in Science Instruction,” Science & Education, vol. 26, no. 7, pp. 749–775, 2017.
[3] C. Christensen, “Risk and school science education,” Studies in Science Education, vol. 45, no. 2, pp. 205–223, 2009.
[4] D. Cerulli, J. Holbrook, and Ü. Mander, “Devising an Instrument for Determining Students’ Preparedness for an Education through Science Learning Approach within the Topic of Natural Hazards.,” Science Education International, vol. 27, no. 1, pp. 59–87, 2016.
[5] L. Simonneaux, N. Panissal, and E. Brossais, “Students’ perception of risk about nanotechnology after an SAQ teaching strategy,” International Journal of Science Education, vol. 35, no. 14, pp. 2376–2406, 2013.
[6] R. Levinson, P. Kent, D. Pratt, R. Kapadia, and C. Yogui, “Developing a pedagogy of risk in socio-scientific issues,” Journal of Biological Education, vol. 45, no. 3, pp. 136–142, 2011.
[7] M. Majumder, “Multi criteria decision making,” in Impact of urbanization on water shortage in face of climatic aberrations, Springer, 2015, pp. 35–47.
[8] E. U. Choo, B. Schoner, and W. C. Wedley, “Interpretation of criteria weights in multicriteria decision making,” Computers & Industrial Engineering, vol. 37, no. 3, pp. 527–541, 1999.
[9] S. D. Pohekar and M. Ramachandran, “Application of multi-criteria decision making to sustainable energy planning—A review,” Renewable and sustainable energy reviews, vol. 8, no. 4, pp. 365–381, 2004.
[10] G. A. Kiker, T. S. Bridges, A. Varghese, T. P. Seager, and I. Linkov, “Application of multicriteria decision analysis in environmental decision making,” Integrated environmental assessment and management: An international journal, vol. 1, no. 2, pp. 95–108, 2005.
[11] M. Aruldoss, T. M. Lakshmi, and V. P. Venkatesan, “A survey on multi criteria decision making methods and its applications,” American Journal of Information Systems, vol. 1, no. 1, pp. 31–43, 2013.
[12] L. Schenk et al., “Teaching and discussing about risk: seven elements of potential significance for science education,” International Journal of Science Education, vol. 41, no. 9, pp. 1271–1286, 2019.
[13] M. M. W. B. Hendriks, J. H. de Boer, A. K. Smilde, and D. A. Doornbos, “Multicriteria decision making,” Chemometrics and Intelligent Laboratory Systems, vol. 16, no. 3, pp. 175–191, 1992.
[14] C. Kahraman, S. C. Onar, and B. Oztaysi, “Fuzzy multicriteria decision-making: a literature review,” International journal of computational intelligence systems, vol. 8, no. 4, pp. 637–666, 2015.
[15] H. R. Keller, D. L. Massart, and J. P. Brans, “Multicriteria decision making: a case study,” Chemometrics and Intelligent laboratory systems, vol. 11, no. 2, pp. 175–189, 1991.
[16] K. M. A.-S. Al-Harbi, “Application of the AHP in project management,” International journal of project management, vol. 19, no. 1, pp. 19–27, 2001.
[17] C. Kahraman, U. Cebeci, and Z. Ulukan, “Multi‐criteria supplier selection using fuzzy AHP,” Logistics information management, 2003.
[18] A. A. Salama and S. A. Alblowi, “Neutrosophic set and neutrosophic topological spaces,” IOSR Journal of Mathematics (IOSR-JM), vol. 3, no. 4, 2012.
[19] F. Smarandache, “Neutrosophic set-a generalization of the intuitionistic fuzzy set,” International journal of pure and applied mathematics, vol. 24, no. 3, p. 287, 2005.
[20] H. Wang, F. Smarandache, Y. Zhang, and R. Sunderraman, Single valued neutrosophic sets. Infinite study, 2010.
[21] W. Chango, J. A. Lara, R. Cerezo, and C. Romero, “A review on data fusion in multimodal learning analytics and educational data mining,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 12, no. 4, p. e1458, 2022.
[22] Y. Xie, Y. Hong, and Y. Fang, “Virtual reality primary school mathematics teaching system based on GIS data fusion,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
[23] C. Ma, “Design and practice of aerobics teaching design based on data fusion algorithm,” Wireless Communications and Mobile Computing, vol. 2022, pp. 1–14, 2022.
[24] W. Zou, Y. Li, X. Shan, and X. Wu, “Application of data fusion and image video teaching mode in physical education course teaching and evaluation of teaching effect,” Security and Communication Networks, vol. 2022, pp. 1–11, 2022.
[25] W. Chango, R. Cerezo, and C. Romero, “Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses,” Computers & Electrical Engineering, vol. 89, p. 106908, 2021.
[26] M. Abdel-Basset, A. Gamal, N. Moustafa, A. Abdel-Monem, and N. El-Saber, “A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles,” IEEE Access, 2021.
Cite This Article
Choose your preferred format
Publisher's Note
The statements, opinions, and data presented in this article are solely those of the author(s) and do not necessarily represent those of ASPG, the journal, or its editors. ASPG and the editors disclaim responsibility for any harm arising from the use of any ideas, methods, instructions, or products described in this article, to the fullest extent permitted by applicable law.