Fuzzy Risk Presumptive Evaluation in Software Development
There are many problems occurring in the software system development life cycle, such as postponed schedule, increased cost, inefficiency and abandonment. Risk is the traditional manner of expressing uncertainty in the systems life cycle. In this paper, the authors propose the computational rule inferences to tackle the presumptive rate of aggregative risk in software development in fuzzy circumstances. The proposed method of presumptive rate of aggregative risk directly uses the fuzzy numbers rather than the linguistic values to presume. The presumptive rate is close to the human thinking.