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Efficiency evaluation of select Indian banks using fuzzy extended data envelopment analysis

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  • Nand Kumar
  • Archana Singh

Abstract

The purpose of the paper is to evaluate the efficiency of the banks using fuzzy extended data envelopment analysis (DEA). One of the limitations of conventional DEA is that it cannot assess efficiency in case of imprecise data. Fuzzy DEA can evaluate efficiency with imprecise data as it takes into consideration the fuzzy characteristics of inputs and outputs. In this paper, variation in inputs and outputs of banks is incorporated in the analysis using fuzzy DEA. Ten reputed Indian commercial banks have been considered to compare the results obtained from conventional DEA and fuzzy DEA. Authors have used a fuzzy ranking method to rank the efficiency of banks, which allows working with the concept of feasibility degree. This research paper may be helpful to managers in analysing the relative efficiency of the bank considering the variation in inputs and outputs during an evaluation period.

Suggested Citation

  • Nand Kumar & Archana Singh, 2017. "Efficiency evaluation of select Indian banks using fuzzy extended data envelopment analysis," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 9(4), pages 334-352.
    • Handle: RePEc:ids:ijidsc:v:9:y:2017:i:4:p:334-352
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    Cited by:

    1. Riju Chaudhary & H. D. Arora, 2022. "Efficiency evaluation of public and nationalized Indian banks using data envelopment analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 469-478, February.

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