Abstract
The aim of the present paper is to propose fuzzy propositional index and retrieval for documents or images. A set of fuzzy propositions represents content of a document or an image. A query of the same form of fuzzy propositions is matched with fuzzy propositional indices for a set of documents or images using a matching function, whereby the matching degree is interpreted as the membership value in the retrieved set. Three algorithms are derived for a matching function which is based on a fuzzy set model, and their efficiency is estimated. Illustrative examples for document retrieval and image retrieval are given.
