  Aspects such as limited resources, frequently changing market demands, and
different technical restrictions regarding the implementation of software
requirements (features) often demand for the prioritization of requirements.
The task of prioritization is the ranking and selection of requirements that
should be included in future software releases. In this context, an intelligent
prioritization decision support is extremely important. The prioritization
approaches discussed in this paper are based on different Artificial
Intelligence (AI) techniques that can help to improve the overall quality of
requirements prioritization processes
