Abstract
This paper tried to identify the chaotic characteristics of human operation from the experimental time series data by utilizing fuzzy inference. It tried to acquire individual skill and proficiency of human operator. The operators in the experiment are skilled to some extent in stabilizing the inverted pendulum by training, and the data of ten trials per person were successively taken for an analysis, where the waveforms of pendulum angle and cart displacement were recorded. It was found that the rules identified for a fuzzy controller from time series data of each operator showed well the human-generated decision-making characteristics with the chaos and the large amount of disorder. It was also found that the degrees of freedom of the motion increases and amount of disorder decrease with an increase of proficiency.
