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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Mahfouf, M., Zhang, J., Linkens, D.A., Nassef, A., Nickel, P., Hockey, G.R.J., Roberts, A.C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6
container_issue
container_start_page 1
container_title
container_volume
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
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4295371</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4295371</ieee_id><sourcerecordid>4295371</sourcerecordid><originalsourceid>FETCH-LOGICAL-c139t-e1618a73c725e1a5cc3245a2f782bd807b754223148260bf6fc4ec1116bfffd53</originalsourceid><addsrcrecordid>eNotkNFKwzAYhSMqOOdeQG_yAp3506RJL8dwTtiYoLtwNyNN_2q1TUqaCdvTW3Dn5nDgO-fiEHIPbArA8sfFdrf7mHLG1FTwXKYKLsgkVxoEFwI4MHlJbs-B5fkVGQ0tnSipxQ2Z9P03G5QLEFKNyM-sNF2sf5EuDqfTkc66Lnhjv7Cn0dO1L7FpavdJNx0GE30YMGdj7Z1p6Fs0ceBqRw1dHlrjkvXQrB3S1-At9j2dexeDH8hjH7G9I9eVaXqcnH1Mtoun9_kyWW2eX-azVWIhzWOCkIE2KrWKSwQjrU25kIZXSvOi1EwVSgrOUxCaZ6yossoKtACQFVVVlTIdk4f_3RoR912oWxOO-_NX6R-YvFwr</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mahfouf, M. ; Zhang, J. ; Linkens, D.A. ; Nassef, A. ; Nickel, P. ; Hockey, G.R.J. ; Roberts, A.C.</creator><creatorcontrib>Mahfouf, M. ; Zhang, J. ; Linkens, D.A. ; Nassef, A. ; Nickel, P. ; Hockey, G.R.J. ; Roberts, A.C.</creatorcontrib><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.</description><identifier>ISSN: 1098-7584</identifier><identifier>ISBN: 1424412099</identifier><identifier>ISBN: 9781424412099</identifier><identifier>EISBN: 9781424412105</identifier><identifier>EISBN: 1424412102</identifier><identifier>DOI: 10.1109/FUZZY.2007.4295371</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive control ; Fuzzy control ; Fuzzy sets ; Fuzzy systems ; Genetic algorithms ; Humans ; Man machine systems ; Process control ; Programmable control ; Psychology</subject><ispartof>2007 IEEE International Fuzzy Systems Conference, 2007, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c139t-e1618a73c725e1a5cc3245a2f782bd807b754223148260bf6fc4ec1116bfffd53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4295371$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4295371$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mahfouf, M.</creatorcontrib><creatorcontrib>Zhang, J.</creatorcontrib><creatorcontrib>Linkens, D.A.</creatorcontrib><creatorcontrib>Nassef, A.</creatorcontrib><creatorcontrib>Nickel, P.</creatorcontrib><creatorcontrib>Hockey, G.R.J.</creatorcontrib><creatorcontrib>Roberts, A.C.</creatorcontrib><title>Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System</title><title>2007 IEEE International Fuzzy Systems Conference</title><addtitle>FUZZY</addtitle><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.</description><subject>Adaptive control</subject><subject>Fuzzy control</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Genetic algorithms</subject><subject>Humans</subject><subject>Man machine systems</subject><subject>Process control</subject><subject>Programmable control</subject><subject>Psychology</subject><issn>1098-7584</issn><isbn>1424412099</isbn><isbn>9781424412099</isbn><isbn>9781424412105</isbn><isbn>1424412102</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkNFKwzAYhSMqOOdeQG_yAp3506RJL8dwTtiYoLtwNyNN_2q1TUqaCdvTW3Dn5nDgO-fiEHIPbArA8sfFdrf7mHLG1FTwXKYKLsgkVxoEFwI4MHlJbs-B5fkVGQ0tnSipxQ2Z9P03G5QLEFKNyM-sNF2sf5EuDqfTkc66Lnhjv7Cn0dO1L7FpavdJNx0GE30YMGdj7Z1p6Fs0ceBqRw1dHlrjkvXQrB3S1-At9j2dexeDH8hjH7G9I9eVaXqcnH1Mtoun9_kyWW2eX-azVWIhzWOCkIE2KrWKSwQjrU25kIZXSvOi1EwVSgrOUxCaZ6yossoKtACQFVVVlTIdk4f_3RoR912oWxOO-_NX6R-YvFwr</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>Mahfouf, M.</creator><creator>Zhang, J.</creator><creator>Linkens, D.A.</creator><creator>Nassef, A.</creator><creator>Nickel, P.</creator><creator>Hockey, G.R.J.</creator><creator>Roberts, A.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200706</creationdate><title>Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System</title><author>Mahfouf, M. ; Zhang, J. ; Linkens, D.A. ; Nassef, A. ; Nickel, P. ; Hockey, G.R.J. ; Roberts, A.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c139t-e1618a73c725e1a5cc3245a2f782bd807b754223148260bf6fc4ec1116bfffd53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adaptive control</topic><topic>Fuzzy control</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Genetic algorithms</topic><topic>Humans</topic><topic>Man machine systems</topic><topic>Process control</topic><topic>Programmable control</topic><topic>Psychology</topic><toplevel>online_resources</toplevel><creatorcontrib>Mahfouf, M.</creatorcontrib><creatorcontrib>Zhang, J.</creatorcontrib><creatorcontrib>Linkens, D.A.</creatorcontrib><creatorcontrib>Nassef, A.</creatorcontrib><creatorcontrib>Nickel, P.</creatorcontrib><creatorcontrib>Hockey, G.R.J.</creatorcontrib><creatorcontrib>Roberts, A.C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mahfouf, M.</au><au>Zhang, J.</au><au>Linkens, D.A.</au><au>Nassef, A.</au><au>Nickel, P.</au><au>Hockey, G.R.J.</au><au>Roberts, A.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System</atitle><btitle>2007 IEEE International Fuzzy Systems Conference</btitle><stitle>FUZZY</stitle><date>2007-06</date><risdate>2007</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1098-7584</issn><isbn>1424412099</isbn><isbn>9781424412099</isbn><eisbn>9781424412105</eisbn><eisbn>1424412102</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.2007.4295371</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1098-7584
ispartof 2007 IEEE International Fuzzy Systems Conference, 2007, p.1-6
issn 1098-7584
language eng
recordid cdi_ieee_primary_4295371
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T01%3A45%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Adaptive%20Fuzzy%20Approaches%20to%20Modelling%20Operator%20Functional%20States%20in%20a%20Human-Machine%20Process%20Control%20System&rft.btitle=2007%20IEEE%20International%20Fuzzy%20Systems%20Conference&rft.au=Mahfouf,%20M.&rft.date=2007-06&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.issn=1098-7584&rft.isbn=1424412099&rft.isbn_list=9781424412099&rft_id=info:doi/10.1109/FUZZY.2007.4295371&rft_dat=%3Cieee_6IE%3E4295371%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424412105&rft.eisbn_list=1424412102&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4295371&rfr_iscdi=true