Fuzzy granular calculations for the sematic web using some mathematical morphology methods

Abstract

In the Semantic Web, during searching information, we can get precise answer for our searching query, even if we have uncertain, vague or unclear information. This positive result of searching information depends on expert choices of acceptable fuzzy degrees for concepts and roles, and also depends on appropriate description of concepts and roles interpretations in the fuzzy sets algebra. In this paper is proposed such interpretation, by using methods of the mathematical morphology and granular computing. Moreover, in order to formulate this problem is used the fuzzy description logic and the postulates of searching information in the Semantic Web are widened.