Carlos A. Bana e Costa

Papers

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About

Carlos A. Bana e Costa is a distinguished figure in the field of decision analysis, with a primary focus on multi-criteria decision aiding (MCDA) and its application to complex real-world problems. His work has been instrumental in advancing the use of structured, transparent methodologies for resource allocation, particularly in the public and R&D sectors. A key contribution is his development of the MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) approach, a non-numerical interactive method that allows decision-makers to quantify value judgments without requiring direct numerical inputs. His highly cited paper, "Supporting the Project Portfolio Selection Decision of Research and Development Investments by Means of Multi-Criteria Resource Allocation Modelling" (17 citations), exemplifies his impact by demonstrating how MCDA can integrate multiple, often conflicting, criteria to optimize portfolio selection under budget constraints. Bana e Costa’s work has been widely adopted in energy, transportation, and health policy, bridging the gap between academic theory and practical decision support. His contributions have earned him recognition as a pioneer in fostering participatory and transparent decision-making processes, making his research essential for students and practitioners seeking to apply rigorous, stakeholder-driven methods to resource allocation challenges.