Interval type-2 fuzzy reasoning model of rehabilitation training for stroke

Article type: Research Article

Authors: Ji, Wen

Affiliations: Department of Information and Electrical Engineering, Xuzhou Institute of Technology, Xuzhou, China

Note: [] Corresponding author. W. Ji, Department of Information and Electrical Engineering, Xuzhou Institute of Technology, Xuzhou, China. Tel.: +86 15942300281; E-mail: [email protected]

Abstract: This paper deals with the problem of the uncertainty of stroke patient. Using the rehabilitant robot can achieve the rehabilitation training for stroke patients. However, the process of rehabilitation training has the uncertainty for patients' condition. So the interval type-2 fuzzy reasoning (IT2FR) model of rehabilitation training for stroke was proposed, which is used a novel type reduction method. Experimental results show that the model can make a rehabilitation training program effectively and improve rehabilitation efficiency.

Keywords: Interval type-2 fuzzy reasoning (IT2FR), type reduction, uncertainty, rehabilitation training, stroke

DOI: 10.3233/IFS-131041

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 827-837, 2014