Modeling of neuro-fuzzy system as a support in decision-making processes

In the paper is presented Neuro-Fuzzy System as a decision-making support in selection of construction machines (the example selecting loader provided). Construction characteristics make basis for selection, but also other elements importance. The data modeling are prepared using Multi-Criteria Decision Making (MCDM) methods: Logarithm Methodology Additive Weights (LMAW), VIKOR, TOPSIS, MOORA and SAW. presents method aggregation weights rules premises (AWRP), which defines key System. Finally, training model tested. input variables obtained by engaging experts.