Abstract
Relational Databases (DB) with linguistic data based on hedge algebras (HA) were introduced, following this approach, data manipulation (include linguistic data) is simpler and more efficient, practical than the other one. On this basis, in this paper, we will present the update operations on relational databases with linguistic data based on HA. Update operations are built by mean of semantically quantifying mapping (SQM) and similarity relation of depth k, where k is the length of a linguistic value that belongs to the values domain of an attribute.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ho, N.C., Wechler, W.: Hedge algebras: An algebraic approach to structures of sets of linguistic domains of linguistic truth variable. Fuzzy Sets and Systems 35(3), 281–293 (1990)
Ho, N.C., Lan, V.N.: Hedge algebras: an algebraic approach to domains of linguistic variables and their applicability
Ho, N.C.: Fuzzy Relational Database with Linguistic Data – Part II: Fuzzy Functional Dependencies, Fuzzy Sets and Systems
Ho, N.C.: Linguistic Databases: Relational Model and Hedge-Algebra-Based Linguistic Data Semantics
Ho, N.C., Vinh, L.X., Hao, N.C.: Unifying and building similar relation in linguistic databases by Hedge algebras. Journal of Computer and Cybernetics, T.25, S.4, 314–332
Nakata, M., Murai, T.: Updating under integrity constraints in fuzzy databases. In: Proc. Sixth IEEE Conf. on Fuzzy Systems (FUZZ-IEEE 1997), Barcelona, pp. 713–719. IEEE (1997)
Raiju, K.V.S.V.N., Majumdar, A.K.: Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database system. ACM Trans. Databases Syst. 13, 129–166 (1988)
Ma, Z.M., Yan, L.: Updating Extended Possibility – Based Fuzzy Relational Databases. International Journal of Intelligent Systems 22, 237–258 (2007)
Bahar, Ozgun, Yazici, Adnan: Normalization and Lossless Join Decomposition of Similarity-Based Fuzzy Relational Databases. Internationnal Journal of Intelligent Systems 19, 885–917 (2004)
Ho, N.C., Hao, N.C.: Monotonically functional independencies in fuzzy databases based on hedge algebras. Journal of Computer and Cybernetics, T.24, S.1 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Hung, L.N., Loc, V.M., Tung, H. (2015). Updating Relational Databases with Linguistic Data Based on Hedge Algebras. In: Vinh, P., Vassev, E., Hinchey, M. (eds) Nature of Computation and Communication. ICTCC 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-319-15392-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-15392-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15391-9
Online ISBN: 978-3-319-15392-6
eBook Packages: Computer ScienceComputer Science (R0)