A data granulation model for searching knowledge about diagnosed objects

Abstract

Diagnostic knowledge about chosen technical classes of objects can be effective gained by analyzing Internet webpages. In this paper for analyzing these data is proposed the data granulation method. Information granules are mathematical models describing data aggregates. Data aggregates are connected with each other and described by the Fuzzy Description Logic. It is presented that this data granulation model can be used to sharpen the diagnostic knowledge.