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A DEA-WEI method for ranking universities in the presence of imprecise data

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  • Bibi Faheema Luckhoo
  • Arshad Ahmud Iqbal Peer

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.

Suggested Citation

  • Bibi Faheema Luckhoo & Arshad Ahmud Iqbal Peer, 2023. "A DEA-WEI method for ranking universities in the presence of imprecise data," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 8(3), pages 211-239.
    • Handle: RePEc:ids:ijdsci:v:8:y:2023:i:3:p:211-239
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