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Bitcoin price forecasting with neuro-fuzzy techniques
Atsalakis, George S.; Atsalaki, Ioanna G.; Pasiouras, Fotios - In: European journal of operational research : EJOR 276 (2019) 2, pp. 770-780
Persistent link: https://www.econbiz.de/10012003664
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Forecasting the success of a new tourism service by a neuro-fuzzy technique
Atsalakis, George S.; Atsalaki, Ioanna G.; Zopounidis, … - In: European journal of operational research : EJOR 268 (2018) 2, pp. 716-727
Persistent link: https://www.econbiz.de/10011852790
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An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis : the...
Akkoç, Soner - In: European journal of operational research : EJOR 222 (2012) 1, pp. 168-178
Persistent link: https://www.econbiz.de/10009569539
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Statistical inference for DEA estimators of directional distances
Simar, Léopold; Vanhems, Anne; Wilson, Paul W. - In: European journal of operational research : EJOR 220 (2012) 3, pp. 853-864
Persistent link: https://www.econbiz.de/10009551323
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Nonparametric predictive utility inference
Houlding, B.; Coolen, Frank P. A. - In: European journal of operational research : EJOR 221 (2012) 1, pp. 222-230
Persistent link: https://www.econbiz.de/10009553083
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Maximising entropy on the nonparametric predictive inference model for multinomial data
Abellán, Joaquín; Baker, Rebecca M.; Coolen, Frank P. A. - In: European journal of operational research : EJOR 212 (2011) 1, pp. 112-122
Persistent link: https://www.econbiz.de/10008990550
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A practical approach for reliability prediction of pipeline systems
Sun, Yong; Ma, Lin; Morris, Jon - In: European journal of operational research : EJOR 198 (2009) 1, pp. 210-214
Persistent link: https://www.econbiz.de/10003853469
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Further results on estimating inefficiency effects in stochastic frontier models
Tsionas, Efthymios G.; Mamatzakis, Emmanuel C. - In: European journal of operational research : EJOR 275 (2019) 3, pp. 1157-1164
Persistent link: https://www.econbiz.de/10011993677
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Predicting customer demand for remanufactured products : a data-mining approach
Truong Van Nguyen; Zhou, Li; Chong, Alain Yee Loong; … - In: European journal of operational research : EJOR 281 (2020) 3, pp. 543-558
Persistent link: https://www.econbiz.de/10012157390
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Predicting product return volume using machine learning methods
Cui, Hailong; Rajagopalan, Sampath; Ward, Amy R. - In: European journal of operational research : EJOR 281 (2020) 3, pp. 612-627
Persistent link: https://www.econbiz.de/10012157401