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.
關聯:
International Journal of Reliability, Quality and Safety Engineering Volume: 11 Issue: 1 Pages: 17-33