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

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.

Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach

“…Linguistic variables become the means for the approximate characterization of phenomena that are too complex or badly defined to be described in precise terms. The use of linguistic variables in several applications reduces the overall calculation complexity of application [45][46][47]. It has been proven that linguistic variables are particularly useful in non-linear complex applications.…”