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A neuro-fuzzy regression approach for estimation and optimisation of gasoline consumption
Azadeh, Mohammad Ali; Alajdad, S. Mohammad Hasan Manzour; … - In: International journal of services and operations management 17 (2014) 2, pp. 221-256
Persistent link: https://www.econbiz.de/10010390042
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A comparative assessment of different fuzzy regression methods for volatility forecasting
Muzzioli, Silvia; De Beats, B. - In: Fuzzy optimization and decision making : a journal of … 12 (2013) 4, pp. 433-450
Persistent link: https://www.econbiz.de/10010232663
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Minimax-Schätzer für Schätz- und Testverfahren im linearen Regressionsmodell bei Vorinformation
Becker, Lioba - 1998
Persistent link: https://www.econbiz.de/10000992088
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Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations
Chen, Liang-Hsuan; Nien, Sheng-Hsing - In: Fuzzy optimization and decision making : a journal of … 19 (2020) 2, pp. 191-210
Persistent link: https://www.econbiz.de/10012225080
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Two novel methodologies for considering aggregation functions by implicit equations and minimization problems
Roldán López de Hierro, Antonio Francisco; Bustince, H.; … - In: European journal of operational research : EJOR 270 (2018) 2, pp. 670-681
Persistent link: https://www.econbiz.de/10011869423
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Estimating reliability of a repairable system with imperfect coverage and fuzzy parameters using parametric non-linear programming approach
Uprety, Indu; Patrai, Kalika - In: Opsearch : journal of the Operational Research Society … 53 (2016) 1, pp. 1-15
Persistent link: https://www.econbiz.de/10011446413
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A new computational method to solve fully fuzzy linear systems for negative coefficient matrix
Kumar, Amit; Babbar, Neetu; Bansal, Abhinav - In: International journal of manufacturing technology and … 25 (2012) 1/3, pp. 19-32
Persistent link: https://www.econbiz.de/10009576495
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A numerical method for an approximate minimax estimator in linear regression
Lauterbach, Jörg; Stahlecker, Peter - 1990
Persistent link: https://www.econbiz.de/10000811061
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CVaR regression based on the relation between CVaR and mixed-quantile quadrangles
Golodnikov, Alex; Kuzmenko, Viktor; Uryasev, Stan - In: Journal of risk and financial management : JRFM 12 (2019) 3/107, pp. 1-22
for the analysis is established with the quadrangle theory of risk functions. We derived relationships between elements of …
Persistent link: https://www.econbiz.de/10012025262
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Optimal learning in linear regression with combinatorial feature selection
Han, Bin; Ryzhov, Ilya O.; Defourny, Boris - In: INFORMS journal on computing : JOC 28 (2016) 4, pp. 721-735
Persistent link: https://www.econbiz.de/10011617596