Abstract:

This paper presents an adaptive inference system for fuzzy approximation in the economic field using neuronal methods.The case study relays on developping a Sugeno type system using neuro-fuzzy rules for evaluation of the profit rate in a trading company.The neuro-fuzzy system is trained using a supervised learning algorithm based on the descent gradient algorithm and the method of the least squares.