3 A Fuzzy Logic Model for Improving Performance of Extended Vigilance in Automation Supervisory Task
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Published:2010
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When an operator first detects unusual and/or infrequent signals in an automation system over prolonged periods of time, however, the system seems to be ok. The operator need not do any thing, but must keep a certain level of attention to detect more serious signals for confirming the problems of the system. The ability to detect and track the following signals after the initial unusual signal is referred to as the extended vigilance. The purpose of this study was to develop a quantitative model for measuring the extended vigilance by fuzzy logic, which extends two-valued logic (“Yes” or “No” to determine hit or miss, correct rejection or false alarm) to multi-valued logic by membership functions of fuzzy sets. Then a fuzzy logical alarm system was developed for improving performance of extended vigilance in automation Supervisory task. The experimental results showed that the effect of the system is good for improving performance of extended vigilance.