چكيده به لاتين
In recent years, project portfolio selection in project-based organizations has become a challenging task, especially as time passes and more research is conducted. selecting a project portfolio, given the large number of selection criteria, is a complex process. Therefore, researchers seek powerful mathematical models and theories that decision-makers can trust to achieve their goals. Models should reflect real-world conditions as much as possible so that organizations can honestly express their requirements and objectives. However, in such procedures, we face a high level of uncertainty since project selection conditions depend on political, economic, social, and legal factors. In this research, we examine and solve the problem in two stages for the optimal selection of project portfolios. Given that project portfolio selection will not be limited to a single objective, in this study, we aim to use Multi-Objective Decision Making (MODM). Furthermore, as mentioned earlier, the selection criteria for each project differ. Therefore, in the first stage, we assign weights to the project's stability criteria using fuzzy control. Then, in the MODM, by defining objective functions for profit maximization and the selection of chosen projects while considering project constraints, we design and solve the model.
In the realm of research-related issues, we will first engage in an in-depth study and review of previous models, and prior research will be examined and categorized. Next, we will model and describe the problem and propose mathematical algorithms and models for the desired problem. The model will be evaluated using the selected algorithm. The research results will be presented, and the model will be thoroughly analyzed.
We divide the work into two stages. In the first stage, we determine the stability criteria, and in the subsequent stages, we obtain project weights using fuzzy control concepts and place them in the mathematical model for project selection and planning.
