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- W4384788169 abstract "Ranking universities has become increasingly common in recent years as it is considered a significant source of comparative information for various stakeholders. The three main university rankings differ by methodology and results since different parameters are considered. In this paper, data envelopment analysis (DEA) is used to obtain a unified ranking of universities based on the data of these ranking systems. Due to the absence of input measures in the dataset, DEA-WEI (without explicit input) models are studied. In order to consolidate the classification, the established rankings of the three ranking systems, which are ordinal data, are considered. As such, we suggest a new approach to rank the universities in situations where imprecise data and only output measures are present." @default.
- W4384788169 created "2023-07-20" @default.
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- W4384788169 date "2023-01-01" @default.
- W4384788169 modified "2023-09-26" @default.
- W4384788169 title "A DEA-WEI method for ranking universities in the presence of imprecise data" @default.
- W4384788169 doi "https://doi.org/10.1504/ijds.2023.132285" @default.
- W4384788169 hasPublicationYear "2023" @default.
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