EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-13815
This submission belongs to the session 06. BIOMODE.ECO-07: Biotech., Mol. Eng., Nat. Products Develop. and Ecology Congress, Paris, France-Ohio, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
05 Dec, 2022
Academic Editor
author-avatarGloria Castellano
Citation
Fernando Lopez-Irarragorri, Eduardo Fernandez, Elisa Schaeffer, Application of Multicriteria Analysis to Increase the Quality of Cuban Tobacco, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13815
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Application of Multicriteria Analysis to Increase the Quality of Cuban Tobacco

Fernando Lopez-Irarragorri 1
Eduardo Fernandez 2
Elisa Schaeffer 3
1. Autonomous University of Nuevo Leon
2. Autonomous University of Coahuila
3. School of Continuing Studies, McGill University, Montreal, Quebec, Canada
Abstract

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

Keywords
Multicriteria Decision Making
Decision Support System
Tobacco Quality Accessment
Manuscript
articulo_tabaco2022en.pdf
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