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

• Main Authors: Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, Sergio Alonso, Ignacio Javier Pérez, Enrique Herrera-Viedma
• Format: Article
• Language: English
• Published: MDPI AG 2020-10-01
• Series: Mathematics
• Subjects: decision support systems; fuzzy ontologies; computing with words
• Online Access: https://www.mdpi.com/2227-7390/8/10/1724

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.