A New Model for Evaluation of Safety Grade of Indicators based on a Fuzzy Logic

Further researching and development in the field of health and safety at work should be looking beyond traditional principles, on a quite new, innovative and contemporary approach. Changing the approach is natural, obvious and necessary regarding frequent technology improvement on all fields, emerging industrial facilities, big social, economical and demographic changes, as well as changes of workforce that is constantly circulating with various different education, profiles, ages and gender. The necessity of frequent monitoring of the changes in a workplace comes in the foreground in order to identify all the changes that could be the potential safety problems. Every risk assessment is specific and needs to take into account a number of indicators which affect whole assessment process. Complexity of business/production systems and changing dynamics are at much higher and greater level, therefore dictate implementation of new models. Also, limits complying with the requirements of existing risk assessment models are significantly overstrained. By using multi-criteria analysis Analytical Hierarchy Process (AHP), the decision making process could be improved through determination of indicators priority. The contributions of this paper are as follows: it proposes fuzzy safety grades of all indicators and sub-indicators, it handles uncertainty, which is performed by using fuzzy sets and the given results can be used to analyze the safety grade of each indicator and sub-indicator over time.