@inproceedings{6d31925e63474001b17f1c1704017126,
title = "Adaptive fuzzy approaches to modelling operator functional states in a human-machine process control system",
abstract = "This paper assesses the operator functional state (OFS) of human operators based on a collection of psychophysiological and performance measures. Two types of adaptive fuzzy models, namely ANFIS (adaptive-network-based fuzzy inference system) and GA (genetic algorithm) based Mamdani fuzzy model, are employed to estimate the OFSs under a set of simulated process control tasks involved in an automation-enhanced cabin air management system (aCAMS). The adaptive fuzzy modelling procedures are described and then validated using real-life data measured from such a simulated human-machine process control system.",
author = "M. Mahfouf and J. Zhang and Linkens, \{D. A.\} and A. Nassef and P. Nickel and Hockey, \{G. R.J.\} and Roberts, \{A. C.\}",
year = "2007",
doi = "10.1109/FUZZY.2007.4295371",
language = "English",
isbn = "1424412102",
series = "IEEE International Conference on Fuzzy Systems",
booktitle = "2007 IEEE International Conference on Fuzzy Systems, FUZZY",
note = "2007 IEEE International Conference on Fuzzy Systems, FUZZY ; Conference date: 23-07-2007 Through 26-07-2007",
}