An Application of Fuzzy Inference System to MIMOSA

Abstract

MIMOSA is the acronym for: Methodology for the Implementation and Monitoring of Occupational SAfety, and it is a new model for evaluating performances in health and safety in workplace, through the use of check-lists and indicators. In this work a first proposal of the application of Fuzzy Logic to the Mimosa methodology is described. It is worth noting that the application of fuzzy logic set theory to the field of occupational safety is legitimate by the presence of typical uncertainty in the collection of data related to the human behavior. The aim is to obtain a quantification of a theme through the fuzzyfication of the checklists, whose scores are vague for definition, and of the indicators. One among the 27 themes of the whole methodology is selected, in order to show in a simple way how fuzzy logic can be applied and which are the results obtained. This is a preliminary approach but it shows that the method can be extended to all the themes and interesting considerations can result for the uncertainties characterizing the final result of Mimosa.