Often we are forced to make decisions under conditions of complete or partial uncertainty and often need the help of experts (i.e. their linguistic description of occurrences of risks). Imperfect information and uncertainty are two very important system attributes which add complexity to the planning and development process of risk analysis. Taking into account Fuzzy Logic Theory we provide a useful way to deal with ill-defined and complex problems in decision making by quantifying imprecise information, incorporating vagueness and by making decisions based on imprecise and vague data.
