Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market

Juan Antonio Morente-Molinera,Enrique Herrera-Viedma,Francisco Javier Cabrerizo,Sergio Alonso,Ignacio Javier Pérez

doi:10.3390/math8101724

Juan Antonio Morente-Molinera, Enrique Herrera-Viedma + Show 3 more

Open Access

https://doi.org/10.3390/math8101724

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Abstract

Nowadays, wine has become a very popular item to purchase. There are a lot of brands and a lot of different types of wines that have different prices and characteristics. Since there is a lot of options, it is easy for buyers to feel lost among the high number of possibilities. Therefore, there is a need for computational tools that help buyers to decide which is the wine that better fits their necessities. In this article, a decision support system built over a fuzzy ontology has been designed for helping people to select a wine. Two different possible architecture implementation designs are presented. Furthermore, imprecise information is used to design a comfortable way of providing information to the system. Users can use this comfortable communication system to express their preferences and provide their opinion about the selected products. Moreover, mechanisms to carry out a constant update of the fuzzy ontology are exposed.

Highlights

Wines are a popular item to purchase
There is a need for designing decision support systems (DSS) [1,2,3,4] that allow them to choose the wine that better fulfils their needs
X528 has reached good results on the desired values for alcohol and acidity, it has a lower value for the price

Summary

Introduction

Wines are a popular item to purchase. Depending on the manufacture, they can have different characteristics. There are wines with different levels of alcohol, acidity, year, etc. Finding the perfect wine for a specific buyer is a quite difficult task. There is not a perfect wine for everybody since each person has different tastes and searches for a specific experience. The high number of brands and wines that are available on the market make it difficult for the buyers to select the wine that better fits their necessities. They cannot handle by themselves the high amount of information about all the features, prices and brands. There is a need for designing decision support systems (DSS) [1,2,3,4] that allow them to choose the wine that better fulfils their needs

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