A FUZZY GROUP ASSESSMENT MODEL FOR EVALUATING THE RATE OF AGGREGATIVE RISK IN SOFTWARE DEVELOPMENT

This paper presents a new method for group decision-making to evaluate the rate of aggregative risk in a fuzzy environment using fuzzy sets theory during any phase of the life cycle. The proposed algorithm is easier and more efficient than the existing methods.