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Fuzzy signal detection theory : analysis of human and machine performance in air traffic control, and analytic considerations

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<title>Fuzzy signal detection theory</title>
<subTitle>: analysis of human and machine performance in air traffic control, and analytic considerations</subTitle>
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<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080287733">
<namePart>Masalonis, Anthony J.</namePart>
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<namePart>Parasuraman, Raja</namePart>
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<dateIssued encoding="marc">2003</dateIssued>
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<abstract>This paper applies fuzzy SDT (signal detection theory) techniques , which combine fuzzy logic and conventional SDT , to empirical data</abstract>
<note type="statement of responsibility">Anthony J. Masalonis, Raja Parasuraman</note>
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<topic>Aviones</topic>
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<topic>Controladores aéreos</topic>
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<topic>Sistemas de control</topic>
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<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080608637">
<topic>Sistema hombre-máquina</topic>
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<title>Ergonomics</title>
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<publisher>London and Washington</publisher>
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<text>Vol. 46, nº 11, September 2003 ; p. 1045-1074</text>
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