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Computational Economics

, Volume 54, Issue 4, pp 1539–1539 | Cite as

Retraction Note to: Analyses of Economic Development Based on Different Factors

  • Goran Maksimović
  • Srđan JovićEmail author
  • David Jovović
  • Marina Jovović
Retraction Note
  • 229 Downloads

1 Retraction Note to: Comput Econ (2019) 53:1103–1109  https://doi.org/10.1007/s10614-017-9786-1

The Editor-in-Chief has retracted this article (Maksimović et al. 2019) because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap [most notably with the articles cited Mladenovic et al. (2016), Gocić et al. (2015), Pourtahmasb et al. (2015), Pourtousi et al. (2015)] and authorship manipulation. None of the authors agree with the retraction.

Notes

References

  1. Gocić, M., Motamedi, S., Shamshirband, S., et al. (2015). Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices. Stochastic Environmental Research and Risk Assessment, 29, 1993–2002.  https://doi.org/10.1007/s00477-015-1056-y.CrossRefGoogle Scholar
  2. Maksimović, G., Jović, S., Jovović, D., et al. (2019). Analyses of economic development based on different factors. Computational Economics, 53, 1103–1109.  https://doi.org/10.1007/s10614-017-9786-1.CrossRefGoogle Scholar
  3. Mladenovic, I., Milovancevic, M., Mladenovic, S., et al. (2016). Analyzing and management of health care expenditure and gross domestic product (GDP) growth rate by adaptive neuro-fuzzy technique. Computers in Human Behavior, 64, 524–530.  https://doi.org/10.1016/j.chb.2016.07.052.CrossRefGoogle Scholar
  4. Pourtahmasb, M., Karim, M., & Shamshirband, S. (2015). Resilient modulus prediction of asphalt mixtures containing recycled concrete aggregate using an adaptive neuro-fuzzy methodology. Construction and Building Materials, 82, 257–263.  https://doi.org/10.1016/j.conbuildmat.2015.02.030.CrossRefGoogle Scholar
  5. Pourtousi, M., Sahu, J., & Ganesan, P. (2015). A combination of computational fluid dynamics (CFD) and adaptive neuro-fuzzy system (ANFIS) for prediction of the bubble column hydrodynamics. Powder Technology, 274, 466–481.  https://doi.org/10.1016/j.powtec.2015.01.038.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Goran Maksimović
    • 1
  • Srđan Jović
    • 2
    Email author
  • David Jovović
    • 1
  • Marina Jovović
    • 3
  1. 1.University of Priština, Faculty of AgricultureLešakSerbia
  2. 2.University of Priština, Faculty of Technical SciencesKosovska MitrovicaSerbia
  3. 3.Business School of Applied Studies in BlaceBlaceSerbia

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