Skip to Main content Skip to Navigation
Conference papers

Processing Fuzzy Relational Queries Using Fuzzy Views

Abstract : This paper proposes two original approaches to the processing of fuzzy queries in a relational database context. The general idea is to use views, either materialized or not. In the first case, materialized views are used to store the satisfaction degrees related to user-defined fuzzy predicates, instead of calculating them at runtime by means of user functions embedded in the query (which induces an important overhead). In the second case, abstract views are used to efficiently access the tuples that belong to the α-cut of the query result, by means of a derived Boolean selection condition.
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Grégory Smits Connect in order to contact the contributor
Submitted on : Tuesday, April 30, 2019 - 5:09:06 PM
Last modification on : Friday, October 8, 2021 - 6:50:23 PM


Files produced by the author(s)


  • HAL Id : hal-02116133, version 1


Emmanuel Doumard, Olivier Pivert, Grégory Smits, Virginie Thion. Processing Fuzzy Relational Queries Using Fuzzy Views. IEEE International Conference on Fuzzy Systems, Jun 2019, New-Orleans, United States. ⟨hal-02116133⟩



Record views


Files downloads