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1 Expression of Concern: Stoch Environ Res Risk Assess (2015) 29:1993–2002 https://doi.org/10.1007/s00477-015-1056-y
The Editor-in-Chief of Stochastic Environmental Research and Risk Assessment is issuing an editorial expression of concern to alert readers that this article (Gocić et al. 2015) shows substantial indication of irregularities in authorship during the submission process. The authors suggested peer reviewers whose identities could not be verified. This article contains overlap with the following articles (amongst others) (Mohammad et al. 2015; Pourtahmasb et al. 2015; Pourtousi et al. 2015; Tarighat 2012; Melin and Castillo 2005; Malhotra and Malhotra 2002). The authors do not agree to this expression of concern.
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Malhotra R, Malhotra DK (2002) Differentiating between good credits and bad credits using neuro-fuzzy systems. Eur J Oper Res 136:190–211. https://doi.org/10.1016/S0377-2217(01)00052-2
Melin P, Castillo O (2005) Supervised learning neural networks. In: Hybrid intelligent systems for pattern recognition using soft computing. Studies in fuzziness and soft computing, vol 172. Springer, Berlin, Heidelberg
Mohammad K, Shamshirband S, Tong WC et al (2015) Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year. Energy Convers Manag 93:406–413. https://doi.org/10.1016/j.enconman.2015.01.021
Pourtahmasb MS, Karim MR, Shamshirband S (2015) Resilient modulus prediction of asphalt mixtures containing recycled concrete aggregate using an adaptive neuro-fuzzy methodology. Constr Build Mater 82:257–263. https://doi.org/10.1016/j.conbuildmat.2015.02.030
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Tarighat A (2012) Fuzzy inference system as a tool for management of concrete bridges. In: Mohammad Fazle Azeem (ed) Fuzzy inference system. IntechOpen. https://doi.org/10.5772/35751
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Gocić, M., Motamedi, S., Shamshirband, S. et al. Expression of Concern: Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices. Stoch Environ Res Risk Assess 33, 1247 (2019). https://doi.org/10.1007/s00477-019-01676-0
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DOI: https://doi.org/10.1007/s00477-019-01676-0