A new method for fuzzy query processing of document retrieval based on extended fuzzy concept networks

This study proposes a new mechanism based on extended fuzzy concept networks for fuzzy query processing of document retrieval and we use relevance matrix and relation matrix to model extended fuzzy concept networks. This mechanism combines the document descriptor relevance matrix defined by the expert with the user's query descriptor based on different weights for obtaining a matrix called satisfaction matrix. This mechanism uses AND operator of the quadratic-mean averaging operators to calculate all the components in each row of the satisfaction matrix. Finally, ranking the degrees of satisfaction of each satisfaction matrix obtains documents more suitable for the user's needs.