Title
Performance evaluation in the presence of unclassified factors
Code
GA19-13946S
Summary
Performance evaluation of a system is the main theme of data envelopment analysis (DEA). Non-parametricity, data-driven modelling and axiomatic framework are the most essential properties of DEA. Indeed, DEA is a mathematical programming approach for assessing the relative efficiency of systems by estimating the best practice in terms of all observations. Performance factors are classified into input and output groups and the efficiency of a system is defined as the ratio of a weighted sum of its outputs to a weighted sum of its inputs. In some applications, there are some unclassified factors, which can play simultaneously input and output roles. The main aim of our research project is to get around DEA implementation problems when unclassified factors are available. With unclassified factors we need to revisit the axiomatic framework of DEA, extend some non-oriented DEA models, handle data irregularities, develop some DEA models with the inclusion of weight. We aim to scrutinize the properties and validity of the proposed models from both the theoretical and practical standpoints.
Start year
2019
End year
2022
Provider
Grantová agentura ČR
Category
Obecná forma
Type
Standardní projekty
Solver
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