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

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<dc:creator>Masalonis, Anthony J.</dc:creator>
<dc:creator>Parasuraman, Raja</dc:creator>
<dc:date>2003-09-01</dc:date>
<dc:description xml:lang="es">This paper applies fuzzy SDT (signal detection theory) techniques , which combine fuzzy logic and conventional SDT , to empirical data</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/57478.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Aviones</dc:subject>
<dc:subject xml:lang="es">Controladores aéreos</dc:subject>
<dc:subject xml:lang="es">Sistemas de control</dc:subject>
<dc:subject xml:lang="es">Sistema hombre-máquina</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Fuzzy signal detection theory : analysis of human and machine performance in air traffic control, and analytic considerations</dc:title>
<dc:title xml:lang="es">Título: Ergonomics</dc:title>
<dc:relation xml:lang="es">En: Ergonomics. - London and Washington. - Vol. 46, nº 11, September 2003 ; p. 1045-1074</dc:relation>
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