Operator functional state estimation based on EEG-data-driven fuzzy model.
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.
Department of Automation, East China University of Science and Technology, Shanghai, 200237 People's Republic of China.
Jianhua
J
Zhang
Engineering Research Center of Optical Instrument and System, Ministry of Education, University of Shanghai for Science and Technology, Shanghai, 200093 People's Republic of China.
Zhong
Z
Yin
Department of Automation, East China University of Science and Technology, Shanghai, 200237 People's Republic of China.
Shaozeng
S
Yang
Institute of Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, 200237 People's Republic of China.
Rubin
R
Wang
Entropy; Fuzzy modeling; Fuzzy partition; Operator functional state; Wang–Mendel method
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