a novel fuzzy bayesian network-based approach for solving the project time-cost-quality trade-off problem

To successfully complete projects, it is essential to meet all the goals of the criteria that affect the project, such as time, cost, and quality. the time-cost-quality trade-off (tcqt) approach is considered a practical technique when project managers or customers tend to crash the total time of a project and create a balance within these criteria. on the other hand, due to the unique inherent of projects and various risks in the real world, using a certain framework for project management problems does not seem efficient. this paper presents a novel fuzzy bayesian network-based approach to schedule a project and control real-world uncertainties. this novel approach applies the fuzzy opinions of several experts with regard to their weight. the presented fuzzy bayesian model can calculate a project’s total cost and duration in various uncertain situations. consequently, this profound knowledge about the project’s various conditions helps managers be aware of the different probable scenarios. to demonstrate the efficiency and application of the proposed model, a modified project example from the literature review is adopted and solved. a common technique in project management called pert is applied to verify the proposed approach, and the results are compared. finally, a comparative analysis with a recent related paper is presented.