Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System
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...
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creator | Mahfouf, M. Zhang, J. Linkens, D.A. Nassef, A. Nickel, P. Hockey, G.R.J. Roberts, A.C. |
description | 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. |
doi_str_mv | 10.1109/FUZZY.2007.4295371 |
format | Conference Proceeding |
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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.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.2007.4295371</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive control Fuzzy control Fuzzy sets Fuzzy systems Genetic algorithms Humans Man machine systems Process control Programmable control Psychology |
title | Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System |
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