Title :
Extending Nested Relational Model for Fuzzy Information Modeling
Author :
Yan, Li ; Ma, Z.M.
Author_Institution :
Sch. of Software, Northeastern Univ., Shenyang, China
Abstract :
In order to deal with complex as well as uncertain information, in this paper, we introduce fuzzy data into nested relational database model, where data fuzziness appears in forms of possibility distribution and resemblance relations in the universe of discourse. We present the structure of fuzzy nested relational model and define the algebra for manipulating fuzzy and complex data.
Keywords :
algebra; fuzzy set theory; relational databases; fuzzy data; fuzzy information modeling; fuzzy set; nested relational database model; possibility distribution; resemblance relations; Algebra; Data engineering; Data models; Educational institutions; Electronic mail; Fuzzy set theory; Fuzzy sets; Information science; Possibility theory; Relational databases; algebras; fuzzy set; model; nested relational model;
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Shanxi
Print_ISBN :
978-0-7695-3679-8
DOI :
10.1109/ICIE.2009.166