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Operator functional state estimation based on EEG-data-driven fuzzy model
Jianhua Zhang1, Zhong Yin2, Shaozeng Yang1
1Department of Automation, East China University of Science and Technology, Shanghai, 200237 People's Republic of China.
Cognitive Neurodynamics
|September 27, 2016
Abstract:
This paper proposed a max-min-entropy-based fuzzy partition method for fuzzy model based estimation of human operator functional state (OFS). The optimal number of fuzzy partitions for each I/O variable of fuzzy model is determined by using the entropy criterion. The fuzzy models were constructed by using Wang-Mendel method. The OFS estimation results showed the practical usefulness of the proposed fuzzy modeling approach.
