On Pareto-Optimality in Cross-Efficiency Evaluation - Application to R&D Project Selection

Explore a 44-minute seminar from GERAD Research Center addressing Pareto-optimality in cross-efficiency evaluation, with a focus on R&D project selection. Delve into the unique challenges of cross-efficiency scores and discover a novel approach to Pareto-optimality based on a self-prioritizing principle. Learn about a proposed multi-objective model generating Pareto-optimal cross-efficiency score sets and understand how a linear model can determine optimal weight profiles. Gain insights into improved resource allocation for R&D project selection compared to traditional cross-efficiency evaluation methods. Presented by Mostafa Davtalab-Olyaie, Assistant Professor at the University of Kashan, Iran and Visiting Assistant Professor at McGill University, this seminar offers valuable perspectives on enhancing decision-making processes in project evaluation and selection.