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NEURO-FUZZY METHODS FOR MENTAL MODELS IMPROVING


PRUTEANU EUSEBIU, BOTEZATU VASILE LIVIU
UNIVERSITY "POLYTECHNIC" OF BUCHAREST

Issue:

MOCM, Number 10, Volume II

Section:

Issue No. 10 - Volume II (2004)

Abstract:

The mathematical model of the human operator behavior in control systems is nonlinear because the parameters of transfer function are modifying in time. It has a complex serial-parallel structure with elements of commutation in function of the mental calculation results and of the process conditions and because in many applications the thinking process can be modified in time. In the paper the use of the neuro-fuzzy methods for mental model obtaining is described.

Keywords:

human-centered design, human error, human factors, human-machine interface, human perception, human reliability, human supervisory control.

Code [ID]:

MOCM200410V02S01A0017 [0000694]


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