Showing papers by "Adrijit Goswami published in 2004"
28 Jun 2004
TL;DR: The idea of fuzzy inclusion dependencies in fuzzy relational databases is new that is introduced in this work and the inference rules on such dependencies are derived and an algorithm has also been proposed for the discovery of FIDs that may exist between two given fuzzy relations stored in one or more fuzzy relational database.
Abstract: Inclusion dependencies express subset-relationships between databases and are thus important indicators for redundancies between databases. In the context of database integration, it can help to solve a very common and difficult problem: "discovering redundancies across crisp databases". Inclusion dependencies in crisp databases are well known and some related work can be found in the literature, however, the idea of fuzzy inclusion dependencies in fuzzy relational databases is new that we have introduced in This work and derived the inference rules on such dependencies. An algorithm has also been proposed for the discovery of FIDs that may exist between two given fuzzy relations stored in one or more fuzzy relational databases.
4 citations
05 Apr 2004
TL;DR: The idea of fuzzy inclusion dependencies in fuzzy relational databases is new that is introduced in this paper and the inference rules on such dependencies are derived.
Abstract: Inclusion dependencies express subset-relationships between databases and are thus important indicators for redundancies between databases. In the context of database integration, it can help to solve a very common and difficult problem: "discovering redundancies across crisp databases ". Inclusion dependencies in crisp databases are well known and some related work can be found in the literature, however, the idea of fuzzy inclusion dependencies in fuzzy relational databases is new that we have introduced in this paper and derived the inference rules on such dependencies.
3 citations
10 May 2004
TL;DR: Using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model to generate a set of FTS relations of fuzzy multidatabase.
Abstract: Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model by Ee Peng Lilm et al. (1999). The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations and their correctness is established. A set of algebraic rules is also presented to optimize FTS algebraic expressions.
2 citations
28 Jun 2004
TL;DR: Using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model and an architecture for distributed query processing with a strategy for query decomposition and optimization is proposed.
Abstract: In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model [Ee Peng Lim et al., 1999]. The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations. A query language FTS-SQL has been proposed to formulate global queries on the FTS relations. An architecture for distributed query processing with a strategy for query decomposition and optimization is also proposed.
2 citations