ARES: a relational database with the capability of performing flexible interpretation of queries
IEEE Transactions on Software Engineering
Database queries with fuzzy linguistic quantifiers
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy querying with SQL: extensions and implementation aspects
Fuzzy Sets and Systems - Mathematical Modelling
CALIN: a user interface based on a simple natural language
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
The schuss filter: A processor for non-numerical data processing.
ISCA '84 Proceedings of the 11th annual international symposium on Computer architecture
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Up to now, most of the retrieving systems are founded on a Boolean selection mechanism. It appears that this way of doing is not powerful enough to deal with some applications, especially when the size (number) of the results must be controlled. In that case, some kind of flexibility is needed in query expression. In this paper, we suggest the use of a fuzzy sets based approach. The basic principles of this approach are presented and compared to more conventional solutions providing only limited extensions. Moreover, the implementation aspects related to our approach are discussed to show that reasonable performances can be expected.