Querying Data with Fuzzy Information in Object-Oriented Databases Based on Hedge Algebraic Semantic

In this paper, we present an approach for handling the attribute values of object classes with fuzzy and uncertain information in object-oriented database based on hedge algebraic theory. Through this approach, semantics is quantified by semantics quantitative mapping of hedge algebra in such a way that still preserves semantic order and may allow to manipulate the data on the real domain of attribute in relation to the linguistic semantics. On such a basis, evaluating semantics, searching uncertain and fuzzy information, and classical data entirely comes to a consistence based on ensuring data homogeneity. Hence, we construct the algorithm that carries out a data matching in service of data query. In addition, we also take a consideration on linguistic quantifier.