Qianzhi Dai

TL;DR: In this paper, the authors used the Data Envelopment Analysis (DEA) technique to solve the problem of allocating a fixed cost across a set of comparable decision-making units (DMUs) in a fair way.

TL;DR: The efficiency of each participating nation in the entire two-stage Olympic process is calculated as a product of the efficiencies of both stages, and a heuristic search is applied to the extended relational model.

TL;DR: In this approach, DEA efficiencies are first calculated for all possible variable subsets and analyzed using Shannon's entropy theory to calculate the degree of the importance of each subset in the performance measurement, then the obtained efficiencies and the degrees of importance are combined to generate a comprehensive efficiency score (CES), which can observably improve the discrimination of traditional DEA models.

TL;DR: Li et al. as discussed by the authors proposed an approach based on the proportional allocation concept to allocate TEPs among a set of decision-making units (DMUs) to achieve a saving in energy consumption and reducing emissions.

TL;DR: The authors find that the super BCC efficiency is a monotone non-increasing function of the allocated cost, and propose a fixed cost allocation approach in terms of principles as: the fixed cost proportion allocated to inelastic DMUs should be consistent with their consumed cost proportion, and the same efficiency satisfaction degree to the rest DMUs.