Application of Multicriteria Analysis to Increase the Quality of Cuban Tobacco

The application of multicriteria analysis methods to the creation of models that allow evaluation of the smoker's pleasure, and optimizing the integral quality of the tobacco leaf, ensuring the degree of sensory satisfaction and the harmfulness of the habit, is presented. The quality model was verified in practice, comparing it with the opinion of a representative group of expert tasters. A decision support system (DSS), capable of simulating and increasing quality with high computational efficiency, is briefly described