An Adaptive High Reasoning Educational Interpretable Evaluation Model for Children’s Literature Based on an Intelligent Library System

References

• Al-Gunaid, M. A., M. V. Shcherbakov, K. S. Zadiran, and A. V. Melikov. 2017. A survey of fuzzy cognitive maps forecasting methods. In 2017 8th International Conference on Information, Intelligence, Systems Applications (IISA), 1–933. doi:10.1109/IISA.2017.8316443.
   Google Scholar
• Allemang, D., and J. Hendler. 2011a. Chapter 1 - What is the semantic web? In Semantic Web for the Working Ontologist (Second Edition), ed. D. Allemang and J. Hendler, 1–12: Morgan Kaufmann. doi:10.1016/B978-0-12-385965-5.10001-9.
   Google Scholar
• Allemang, D., and J. Hendler. 2011b. Chapter 2 - Semantic modeling. In Semantic Web for the Working Ontologist (Second Edition), ed. D. Allemang and J. Hendler, 13–25: Morgan Kaufmann. doi:10.1016/B978-0-12-385965-5.10002-0.
   Google Scholar
• Amelia, N., A. G. Abdullah, and Y. Mulyadi. 2019. Meta-analysis of student performance assessment using fuzzy logic. Indonesian Journal of Science and Technology 4 (1):74. doi:10.17509/ijost.v4i1.15804.
   Google Scholar
• Andaloussi, K. S., L. Capus, and I. Berrada. 2017. Adaptive educational hypermedia systems: Current developments and challenges. In Proceedings of the 2nd International Conference on Big Data, Cloud and Applications, 1–8. Tetouan Morocco: ACM. doi:10.1145/3090354.3090448.
   Google Scholar
• Anezakis, V.D., K. Demertzis, and L. Iliadis. 2018. Classifying with fuzzy chi-square test: The case of invasive species. AIP Conference Proceedings 19781:290003. American Institute of Physics. doi:10.1063/1.5043910.
   Google Scholar
• Babovic, Z., and V. Milutinovic. 2013. Chapter 2 - Novel system architectures for semantic-based integration of sensor networks. In Advances in Computers, ed. A. Hurson, vol. 90, 91–183. Connected Computing Environment, Elsevier. doi:10.1016/B978-0-12-408091-1.00002-6.
   Google Scholar
• Bonacin, R., M. Fugini, R. Martoglia, O. Nabuco, and F. Saïs. 2020. Web2touch 2020–21: Semantic technologies for smart information sharing and web collaboration. In 2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 235–38. doi:10.1109/WETICE49692.2020.00053.
   Google Scholar
• Cha, H. J., and M. L. Ahn. 2014. Development of design guidelines for tools to promote differentiated instruction in classroom teaching. Asia Pacific Education Review 15 (4):511–23. doi:10.1007/s12564-014-9337-6.
   Web of Science ®Google Scholar
• Chen, H.P., and Z.M. Yeh. 2000. Extended fuzzy petri net for multi-stage fuzzy logic inference. In Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 1:441–46. doi:10.1109/FUZZY.2000.838700.
   Google Scholar
• Demertzi, V., and K. Demertzis. 2020. A hybrid adaptive educational elearning project based on ontologies matching and recommendation system. ArXiv:2007.14771 [Cs, Math], October. http://arxiv.org/abs/2007.14771.
   Google Scholar
• Demertzis, K., V.D. Anezakis, L. Iliadis, and S. Spartalis. 2018. Temporal modeling of invasive species’ migration in greece from neighboring countries using fuzzy cognitive maps. In Artificial Intelligence Applications and InnovationsIFIP Advances in Information and Communication Technology, ed. L. Iliadis, I. Maglogiannis, and V. Plagianakos, 592–605: Springer International Publishing. doi:10.1007/978-3-319-92007-8_50.
   Google Scholar
• Demertzis, K., and L. Iliadis. 2017. Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: The case of lagocephalus sceleratus. Neural Computing & Applications 28 (6):1225–34. doi:10.1007/s00521-016-2591-2.
   Web of Science ®Google Scholar
• De, S., Y. Zhou, and K. Moessner. 2017. Chapter 1 - Ontologies and context modeling for the web of things. In Managing the Web of Things, ed. Q. Z. Sheng, Y. Qin, L. Yao, and B. Benatallah, 3–36: Morgan Kaufmann. doi:10.1016/B978-0-12-809764-9.00002-0.
   Google Scholar
• Georgopoulos, V. C., and C. D. Stylios. 2017. Fuzzy cognitive maps for decision making in triage of non-critical elderly patients. In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 225–28. doi:10.1109/ICIIBMS.2017.8279752.
   Google Scholar
• Guo, B., S. Hao, G. Cao, and H. Gao. 2021. Profit distribution of liner alliance based on shapley value. Journal of Intelligent & Fuzzy Systems 41 (4):5081–85. IOS Press. doi:10.3233/JIFS-189993.
   Web of Science ®Google Scholar
• Hou, Z., X. Cai, S. Chen, and B. Li. 2019. A model based on dual-layer attention mechanism for semantic matching. In 2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE), 105–08. doi:10.1109/ICIASE45644.2019.9074041.
   Google Scholar
• Ibrahim, S., S. Fathalla, J. Lehmann, and H. Jabeen. 2020. Multilingual ontology merging using cross-lingual matching. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 113–20. doi:10.1109/WIIAT50758.2020.00020.
   Google Scholar
• Iqbal, Z., M. Anees, R. Khan, A. Wadood, and S. Malik. 2021. A comparative analysis of the efficacy of three program-evaluation models –A review on their implication in educational programs. Humanities & Social Sciences Reviews 9 (3):326–36. doi:10.18510/hssr.2021.9333.
   Google Scholar
• Jang, J. -S.R. 1993. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 23 (3):665–85. doi:10.1109/21.256541.
   Web of Science ®Google Scholar
• Liwen, H., and L. Wang. 2016. H fuzzy filtering design via membership function dependent lyapunov function. In 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), 348–53. doi:10.1109/ICCSS.2016.7586479.
   Google Scholar
• Lomazova, I. A. 2001. Recursive nested petri nets: Analysis of semantic properties and expessibility. Programming and Computer Software 27 (4):183–93. doi:10.1023/A:1010914603293.
   Web of Science ®Google Scholar
• Maghsudi, S., A. Lan, J. Xu, and M. van der Schaar. 2021. Personalized education in the ai era: What to expect next? IEEE Signal Processing Magazine 38 (3):37–50. doi:10.1109/MSP.2021.3055032.
   Web of Science ®Google Scholar
• Mulwa, C., S. Lawless, M. Sharp, I. Arnedillo-Sanchez, and V. Wade. 2010. Adaptive educational hypermedia systems in technology enhanced learning: A literature review. In Proceedings of the 2010 ACM Conference on Information Technology Education - SIGITE ’10, 73. Midland, Michigan, USA: ACM Press. doi:10.1145/1867651.1867672.
   Google Scholar
• Pérez, I. J., E. Herrera-Viedma, J. López-Gijón, and F. J. Cabrerizo (2010). A new application of a fuzzy linguistic quality evaluation system in digital libraries. In 2010 10th International Conference on Intelligent Systems Design and Applications, Cairo, Egypt, 2010 November 29–December 1, 639–44. IEEE.
   Google Scholar
• T Atanassov, K. 2017. Intuitionistic Fuzzy Logics. In Studies in Fuzziness and Soft Computing, vol. 351: Springer International Publishing. doi:10.1007/978-3-319-48953-7
   Google Scholar
• Thiombiano, J., Y. Traoré, S. Malo, P. Koassa, and O. Sié. 2020. Semantic annotation of resources based on ontologies: Application to a knowledge sharing platform on meningitis. In 2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC), 1–6. doi:10.1109/SCCIC51516.2020.9377332.
   Google Scholar
• Ueland, J. S., T. L. Hinds, and N. D. Floyd. 2021. Equity at the edge of chaos: Applying complex adaptive systems theory to higher education. New Directions for Institutional Research 2021 (189–192):121–38. doi:10.1002/ir.20356.
   Google Scholar
• Urdaneta-Ponte, M. C., A. Mendez-Zorrilla, and I. Oleagordia-Ruiz. 2021. Recommendation systems for education: Systematic review. Electronics 10 (14):1611. doi:10.3390/electronics10141611.
   Web of Science ®Google Scholar
• Venkata Subba Reddy, P. 2013. Generalized fuzzy logic for incomplete information. In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1–6. doi:10.1109/FUZZ-IEEE.2013.6622305.
   Google Scholar
• Xue, X., and J. Lu. 2020. A compact brain storm algorithm for matching ontologies. IEEE Access 8:43898–907. doi:10.1109/ACCESS.2020.2977763.
   Web of Science ®Google Scholar
• Zhu, Y. 2020. Application of ontology matching algorithm in linguistic features. In 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), 906–09. doi:10.1109/ICPICS50287.2020.9202191.
   Google Scholar