Fuzzy queries processing by means of meta-natural language using fuzzy algorithms

This paper presents a novel idea of gaining imprecise information from relational database systems. Concernment of investigation rise fact that such kind of processing is not supported by any commercial database system. These researches illustrate a combination of database technology and fuzzy logic. The final aim is to develop a fuzzy querying system based on meta-natural language.

[1]  Adrian E. Raftery,et al.  How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..

[2]  J. Kacprzyk,et al.  Fquery for Access: Fuzzy Querying for a Windows-Based DBMS , 1995 .

[3]  José Galindo,et al.  Fuzzy Database Languages Integration Using Expressive Power , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

[4]  Patrick Bosc,et al.  SQLf: a relational database language for fuzzy querying , 1995, IEEE Trans. Fuzzy Syst..

[5]  Ollivier Haemmerlé,et al.  Fuzzy querying of incomplete, imprecise, and heterogeneously structured data in the relational model using ontologies and rules , 2005, IEEE Transactions on Fuzzy Systems.

[6]  Yoshikane Takahashi A fuzzy query language for relational databases , 1991, IEEE Trans. Syst. Man Cybern..

[7]  A. Pelikant,et al.  Implementation of automatically generated membership functions based on grouping algorithms , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

[8]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[9]  Marlene Goncalves,et al.  A New Upgrade to SQLf: Towards a Standard in Fuzzy Databases , 2009, 2009 20th International Workshop on Database and Expert Systems Application.