Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

An important problem in Fuzzy OWL 2 ontology building is the definition of fuzzy membership functions for real-valued fuzzy sets (so-called fuzzy datatypes in Fuzzy OWL 2 terminology). In this paper, we present a tool, called Fudge, whose aim is to support the consensual creation of fuzzy datatypes by aggregating the specifications given by a group of experts. Fudge is freeware and currently supports several linguistic aggregation strategies, including the convex combination, linguistic OWA, weighted mean and fuzzy OWA, and easily allows to build others in. We also propose and have implemented two novel linguistic aggregation operators, based on a left recursive form of the convex combination and of the linguistic OWA

Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies

International audienceOver the last decade, the Internet has undergone a profound change. Thanks to Web 2.0 technologies, the Internet has become a platform where everybody can participate and provide their own personal information and experiences. Ontologies were designed in an effort to sort and categorize all sorts of information. In this paper, an automatized method for retrieving the subjective Internet users information and creating ontologies is described. Thanks to this method, it is possible to automatically create knowledge databases using the common knowledge of a large amount of people. Using these databases, anybody can consult and benefit from the retrieved information. Group decision making methods are used to extract users information and fuzzy ontologies are employed to store the collected knowledge