Vol.10, No.4, November 2021.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                          eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Neurotic Fuzzy-Data-Envelopment Analysis to Forecast Efficiency of Bank Branches


Tarık Cakar, Raşit Koker, Muhammed Ali Narin


© 2021 Tarık Cakar, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 10, Issue 4, Pages 1751-1760, ISSN 2217-8309, DOI: 10.18421/TEM104-36, November 2021.


Received: 26 May 2021.

Revised:  24 October 2021.
Accepted: 30 October 2021.
Published: 26 November 2021.




In this study the prediction of efficiency of four different Bank Branches have been done by using Neurotic Fuzzy Data Envelopment Analysis approach. In the first stage of the study, Artificial Neural Network (ANN) model has been modelled and trained using the last five years data. The data belonging any year has been taken as input of ANN, next year data has been defined as output of ANN. Fuzzyfication process has been applied to obtained predictions based on asking managers of bank branches, after Fuzzy Data Envelopment Analysis process has been applied to fuzzy values. As a result, the bank branches parameters belonging to 2021 year have been obtained. The efficiency of 2021 for bank branches have been calculated based on Fuzzy Data Envelopment Analysis (FDEA).


Keywords –Artificial Neural Networks, Forecasting, Fuzzy Data Envelopment Analysis.



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