Multi-factorial risk assessment: An approach based on fuzzy preference relations

The main purpose of this paper is to develop a new method to aggregate the information given by several experts or criteria about different alternatives in order to obtain the preferred alternative or alternatives. This method has to take into account the interaction of the different alternatives and a parameter modelling the flexibility of this method has to be introduced. More precisely, this method uses fuzzy preference relations, aggregated by means of weighted ordered weighted averaging aggregation operators (WOWA). For the exploitation phase the extended weighted voting algorithm is introduced and studied in detail. Finally, the goodness of this approach is analyzed using it to combine different points of view (people, environment, assets and reputation impact for the company) in the assessment of risk associated with human reliability.