BACKGROUND: The work system is defined by its components, their roles and
the relationships between them. Any work system gravitates around the human
resource and the interdependencies between human factor and the other
components of it. Researches in this field agreed that the human factor and
its actions are difficult to quantify and predict.
OBJECTIVE: The objective of this paper is to apply a method of human actions
evaluation in order to estimate possible risks and prevent possible system
faults, both at human factor level and at equipment level.
METHODS: In order to point out the importance of the human factor influence
on all the elements of the working systems we propose a fuzzy logic based
methodology for quality evaluation of human actions. This methodology has a
multidisciplinary character, as it gathers ideas and methods from: quality
management, ergonomics, work safety and artificial intelligence.
RESULTS: The results presented refer to a work system with a high degree of
specificity, namely, underground coal mining and are valuable for human
resources risk evaluation pattern.
CONCLUSIONS: The fuzzy logic evaluation of the human actions leads to early
detection of possible dangerous evolutions of the work system and alarm the
persons in charge.
