Autors: Ivanova, M. S., Ilieva, R. Y., Lu, Zh.
Title: Construction of Fuzzy-Classification Expert System in Cerebral Palsy for Learning Performance Facilitation
Keywords: expert system, learning performance, cerebral palsy, rehabilitation methods, fuzzy theory, machine learning

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.



    Workshop on Interactive Environments and Emerging Technologies for eLearning (IEETeL) at the 10th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL 2020), 17th-19th June, Advances in Intelligent Systems and Computing (AISC), vol. 1236, issue 2, pp. 5-14, 2020, Italy, Springer, Cham, ISBN 978-3-030-52286-5/ISSN 2194-5357/

    Copyright Springer Nature Switzerland AG 2021

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    Цитирания (Citation/s):
    1. de Souza R.L.S., Costa H.G. (2021) K-Means and Multicriteria Decision Aid Applied to Sustainability Evaluation. In: Abraham A., Piuri V., Gandhi N., Siarry P., Kaklauskas A., Madureira A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus