انتخاب پروژه در سبد پروژه‌ها با به‌کارگیری معیارهای اقتصادی و غیراقتصادی و با استفاده از منطق فازی

Optimizing project portfolio management is recognized as a key factor in maintaining competitive advantage and achieving the strategic objectives of project-oriented organizations. However, many conventional project selection models either focus solely on economic criteria or lack a systematic framework for simultaneously integrating qualitative, non-economic criteria under conditions of uncertainty. Aiming to bridge this gap, this study presents and validates a novel fuzzy-based multi-criteria decision-making model for project selection in project-oriented companies. The research employed an applied methodology with a descriptive-survey approach, utilizing the fuzzy Delphi technique among 30 experts from Tavan Azaran Arvand Engineering Company. The six-criteria framework of the study (including Financial-Economic, Strategic Requirements, Technical, Project Risk, Human Resources, and Project Environment) was evaluated through fuzzy questionnaires and analyzed using the Fuzzy TOPSIS method and regression analysis. The findings revealed that the 'Strategic Requirements' criterion, with a final weight of 0.553, is the most important factor, while 'Human Resources', with an impact factor of 0.571, is the strongest predictor of success in project selection. Furthermore, the conducted sensitivity analysis confirmed the stability and reliability of the model. The primary innovation of this study lies in the simultaneous integration of six key economic and non-economic dimensions into a unified fuzzy model, its practical validation within the context of an Iranian project-oriented company, and the addition of systematic sensitivity analysis. This model serves as an efficient tool to assist managers in making project selection decisions based on a balance between economic justification and strategic-human requirements in an uncertain environment.