A Synergistic Effect in the Measurement of Neuro-Fuzzy System
National research Tomsk state University, 634050, Tomsk, Russia
* Corresponding author: email@example.com
We consider a new type of hybrid neuro-fuzzy system based on fuzzy and neural computing in hierarchical sequential structure, the total effect exceeds the effect of each component separately. The proposed system can be applied to multi-criteria analysis, automatic classification on signs and obtain evidence-based estimates of the efficiency of scientific and technical solutions and technologies, engineering and robotics. An example of a neuro-fuzzy system measuring the intensity of the emotions of a robot, with the extraction of diagnostic decision rules “If & then”.
© The Authors, published by EDP Sciences, 2016
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