Representation of weakly structured imprecise data for fuzzy querying

In the present paper, we introduce an extension of the conceptual graph model suitable to the representation 7 of data which are modelized using fuzzy sets. We extend the specialization relation of the conceptual graph model to fuzzy conceptual graphs. Lastly we introduce a new way of comparing conceptual graphs, using the 9 idea that a graph may be compatible with another graph with a given degree d, which allows to make more 1exible comparisons of fuzzy conceptual graphs. This work takes place within a project that aims at building 11 a tool for the analysis of microbial risks in food products. c © 2003 Published by Elsevier Science B.V. 13