Abstract
The paper presents a novel method and conceptual architecture for implementation of fuzzy-classification expert system in the domain of rehabilitation methods for cerebral palsy. The expert system includes two blocks: Fuzzy block utilizing fuzzy algorithms for multi-criteria decision making and Machine learning block based on algorithms for tree classification and KMeans clustering. The proposed solution is designed for facilitation the learning performance of university students as well as for professionals who have to make decisions in the area of cerebral palsy and corresponding rehabilitation methods.
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Acknowledgments
The authors would like to thank the Research and Development Sector at the Technical University of Sofia for the financial support.
The previous work is funded by project of the 3rd Regular Session of the China-Serbia Inter-Governmental Scientific and Technical Cooperation Committee, project title “Study of human-robot interaction - Use of robot as assistive technology for cerebral palsy rehabilitation”; and the 12th Regular Session of the China-Slovenia Inter-Governmental Scientific and Technical Cooperation Committee, project title “Study on Key Intelligent Control Technology and Method of Robot Assistant System for Cerebral Palsy Rehabilitation”.
The authors express their deep gratitude to all participants in the surveying process for the priceless engagement and the quick response. Special thanks to Prof. Dr. L. Haralanov, Head of the NCH Nervous Diseases Clinic, Dr V. Damyanov, Vice Head of 8 DCC, Senior Assist. Prof. O. Boyanova, Medical University-Sofia, Prof. Branislav Borovac, Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Serbia; Prof. Marjan Mernik, Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia; Prof. Yan Liu, Yu Zhao, Zhipeng Ma, Hong Wang and Changkao Shan with Changshu Institute of Technology, Xuanlin Shen, Head of Department of Rehabilitation Medicine, Changshu No. 2 People Hospital, P.R. China; and Dr. & A/Prof. Jun Liu with Faculty of Biomedical Engineering & Instrument Science, Zhejiang University, P.R. China for the enthusiastic support in the surveying process.
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Ivanova, M., Ilieva, R., Lu, Z. (2021). Construction of Fuzzy-Classification Expert System in Cerebral Palsy for Learning Performance Facilitation. In: Kubincová, Z., Lancia, L., Popescu, E., Nakayama, M., Scarano, V., Gil, A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops. MIS4TEL 2020. Advances in Intelligent Systems and Computing, vol 1236. Springer, Cham. https://doi.org/10.1007/978-3-030-52287-2_1
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