Tahereh Heydari - Department of Industrial Engineering, Iran University of Science & Technology, Narmak, Tehran- Iran
Seyed Mohammad Seyed Hosseini - Department of Industrial Engineering, Iran University of Science & Technology, Narmak, Tehran- Iran
Ahmad Makui - Department of Industrial Engineering, Iran University of Science & Technology, Narmak, Tehran- Iran

Because of limited resources, Selection of appropriate projects is anextremely important goal for organizations. A poor decision mightnegatively affect the organization in two ways: On the one hand,organizational resources are spent for weak and non-strategic projects,leading to the loss of time and resources, on the other hand, theorganization lose the profit which could be gained by investing theresources in more profitable projects (opportunity cost). Hence, selecting arich portfolio has been always an important concern of project managers.In real world, selection is complicated by uncertainty in input data, therebymaking selection and scheduling more complicated. In this study, thefuzzy Preference Ranking Organization METHod for EnrichmentEvaluation (fuzzy PROMETHEE) is presented for portfolio projectselection and scheduling in fuzzy conditions; in the first stage, projects areranked using qualitative and quantitative criteria through fuzzyPROMETHEE, and in the second stage, higher rank alternatives, areselected and scheduled concerning restrictions.

project portfolio selection, Fuzzy PROMETHEE V method, two-stage model,uncertainty