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DTSTAMP:20260603T012040Z
DESCRIPTION:\n	\n		\n			Webinar: On Pareto-Optimality in the Cross-Efficiency Eva
 luation: Application to RD Project Selection\n		\n	\n\n\n\n	\n		\n			Uniqueness and
  Pareto-optimality of cross-efficiency scores are two main issues in the c
 ross-efficiency evaluation. We address the Pareto-optimality issue in the 
 cross-efficiency evaluation by presenting a natural notion of Pareto-optim
 ality in the cross-efficiency evaluation\, which is based on a new self-pr
 ioritizing principle and aligned with the concept of dominance. We then pr
 opose a multi-objective model whose Pareto-optimal solutions generate all 
 the Pareto-optimal cross-efficiency score sets that fulfill the self-prior
 itizing principle. It is shown that there is a Pareto-optimal solution to 
 the proposed multi-objective programming model which assigns a common set 
 of weights to all decision-making units. We then propose a linear model to
  obtain such an optimal solution using the weighted sum technique\, thereb
 y we can determine an optimal weights profile to generate a set of Pareto-
 optimal cross-efficiency scores by solving only one linear model. We also 
 demonstrate the possibility of better\, compared to other cross-efficiency
  evaluation methods\, resource allocation for RD project selection.\n\n			\n				
 \n					\n						Webinar link\n					\n				\n			\n		\n	\n\n
DTSTART:20221102T150000Z
DTEND:20221102T160000Z
SUMMARY:Mostafa Davtalab-Olyaie (University of Kashan)
URL:/mathstat/channels/event/mostafa-davtalab-olyaie-u
 niversity-kashan-343180
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