انتخاب پروژه در مدیریت پرتفوی : مدل شبکه عصبی مصنوعی بر اساس عوامل بحرانی موفقیت

This research proposes an innovative methodology to help managers in assessing projects during the selection phase. The paper describes the design, development and testing stages of a decision support system to predict project performances. An artificial neural network (ANN), scalable to any set of CSFs, classifies the level of project’s riskiness by extracting the experience of project managers from a set of past successful and unsuccessful projects.