Hussain, WalayatMerigó Lindahl, José M.Gil Lafuente, JaimeGao, Honghao2023-05-102023-05-102023-04-011432-7643https://hdl.handle.net/2445/197788Neural network methods are widely used in business problems for prediction, clustering, and risk management to improving customer satisfaction and business outcome. The ability of a neural network to learn complex nonlinear relationship is due to its architecture that uses weight parameters to transform input data within the hidden layers. Such methods perform well in many situations where the ordering of inputs is simple. However, for a complex reordering of a decision-maker, the process is not enough to get an optimal prediction result (...)12 p.application/pdfeng(c) Springer Verlag, 2023http://creativecommons.org/licenses/by/3.0/es/Teoria de la prediccióPrevisió econòmicaTeoria d'operadorsPresa de decisionsPrediction theoryEconomic forecastingOperator theoryDecision makinginfo:eu-repo/semantics/article7322622023-05-10info:eu-repo/semantics/openAccess