Ignacio Huitzil's homepage

Fudge is a type of confectionery, usually made with sugar, milk, butter and flavoring, and often chocolate.
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This page contains the tool Fudge described in the paper "Fudge: Fuzzy Ontology Building with Consensuated FuzzyDatatypes" by Ignacio Huitzil, Fernando Bobillo,Juan Gómez-Romero,Umberto Straccia.

Fudge (FUzzy Datatypes from a Group of Experts) is a software (made on Java and use OWLAPI to manage OWL 2 ontologies represented in Fuzzy OWL 2 language) that generates a consensuated aggregation of fuzzydatatypes.

The tool receives a folder containing the input files, and it imports all the .owl files in the folder. We assume that each of the input files includes a Fuzzy OWL 2 ontology (that is, an OWL 2 ontology where datatypes can have an OWL 2 annotation describing the parameters of the fuzzy function). As an output, Fudge creates a new ontology with the axioms included in the input files, except the declarations of the datatypes, which is unique. That is, if two or more files have a datatype with the same name, it only adds a consensuated one to the output ontology.

With Fudge the users select the input ontologies, the type of consensus (aggregation operator) and the necessary parameters:
-Vector of weights for CONV-RRF, CONV-LRF and WMEAN. Figure a) shows the vector of weights of three ontologies.
-The type of fuzzy quantifier and its parameters for LOWA-RRF, LOWA-LRF and FOWA. The figures b) ,c) and e) present the Fuzzy quantifiers.
-Recursive weights is a way to create the vector of weights with Left Recursive Form LRF and Right Recursive Form RRF. The Figure d) shows a an exmaple of LRF and an orness of 0.6.