  This paper presents a method to measure the similarity between different
fuzzy concepts in order to optimize Semantic networks. The problem approached
is the minimization of the time of research and identification of user's
Objects and Goals. Indeed, it concerns to determine to each instant the
totality of Objects (respectively Goals) among which one can identify rapidly
the most satisfactory for the user's Object and Goal. Alone Objects and most
similar Goals to Objects and researched Goals of the viewpoint of attribute
values will be processed, what will avoid the analysis of all Objects and
system Goals far of needs of the user.
