Modeling Wine Preferences from Physicochemical Properties using Fuzzy Techniques

Àngela Nebot, Francisco Mugica, Antoni Escobet

2015

Abstract

Wine classification is a difficult task since taste is the least understood of the human senses. In this research we propose to use hybrid fuzzy logic techniques to predict human wine test preferences based on physicochemical properties from wine analyses. Data obtained from Portuguese white wines are used in this study. The fuzzy inductive reasoning technique achieved promising results, outperforming not only the other fuzzy approaches studied but also other data mining techniques previously applied to the same dataset, such are neural networks, support vector machines and multiple regression. Modeling wine preferences may be useful not only for marketing purposes but also to improve wine production or support the oenologist wine tasting evaluations.

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Paper Citation


in Harvard Style

Nebot À., Mugica F. and Escobet A. (2015). Modeling Wine Preferences from Physicochemical Properties using Fuzzy Techniques . In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 501-507. DOI: 10.5220/0005551905010507


in Bibtex Style

@conference{simultech15,
author={Àngela Nebot and Francisco Mugica and Antoni Escobet},
title={Modeling Wine Preferences from Physicochemical Properties using Fuzzy Techniques},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={501-507},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005551905010507},
isbn={978-989-758-120-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Modeling Wine Preferences from Physicochemical Properties using Fuzzy Techniques
SN - 978-989-758-120-5
AU - Nebot À.
AU - Mugica F.
AU - Escobet A.
PY - 2015
SP - 501
EP - 507
DO - 10.5220/0005551905010507