A New Optimization Model for Project Portfolio Selection Under Interval-Valued Fuzzy Environment

摘要: Selecting the right projects is primary objective of project-oriented organizations. The main concern this research to propose a new optimizing model for project evaluation and portfolio selection under interval-valued fuzzy (IVF) environment. Projects involvement in uncertainties complexities notable, managers have make decisions uncertain environments. In order assist top these circumstances, investment capitals net cash flows paper are presented as IVF numbers instead crisp or classical numbers. Using sets enables proposed consider uncertainty more practically which achieved through addressing vagueness lack information intuitively. A compound index that simultaneously takes risk return into account also presented. This approach illustrates both level then calculates unit project. Risk measured by lower semi-variance projects’ returns direct, clear widely accepted downside measure. first comparison; then, it extended problem. Finally, optimization exemplified evaluating candidate selecting real case study holding company developing countries. Moreover, numerical example illustrate capability large-size problems.