By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Doan Van Ban ; Inf. Technol. Inst., Vietnam Sci. & Technol. Inst., Ha Noi, Vietnam ; Truong Cong Tuan ; Doan Van Thang

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.

Published in:

Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on

Date of Conference:

17-19 Aug. 2012