Estimation of Operator Functional State Using EEG Data-Driven Fuzzy Models with Entropy-Based Partition

Jianhua Zhang,Zhong Yin,Shaozeng Yang,Rubin Wang

doi:10.1007/978-981-10-0207-6_69

Estimation of Operator Functional State Using EEG Data-Driven Fuzzy Models with Entropy-Based Partition

Jianhua Zhang, Zhong Yin + Show 2 more

https://doi.org/10.1007/978-981-10-0207-6_69

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Publication Date: Jan 1, 2016

Affiliation: East China University of Science and Technology

#Operator Functional State #Fuzzy Model + Show 8 more

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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 (WM) method. The OFS estimation results showed the practical usefulness of the proposed fuzzy modeling approach.

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