Multicriteria Algorithm for Multisensory Analysis of Coffee

The complexity of the new consumer market requires an equally complex investigative method to observe and analyze experiences, identifying neurophysiological patterns and their relationship with the choice of a product. The observation of the multisensory experience was made using fMRI, EEG and Fuzzy logic. For this project, the coffee consumption experience was analyzed and the neurophysiological responses observed, during the consumption of 3 different flavors, prepared in the same way. Based on the data and processes, a sensory mapping of the observer was generated in which the neurophysiological responses can be verified during the experiment. The data were processed and quantified in order to have a mathematical answer to the experience of each of the flavors and people, in addition to allowing an understanding of the importance of these standards for the selection of the winning option. Especially considering that a verbal response is not always the same as a neural response to the same stimulus.