A subjective approach for ranking fuzzy numbers
Fuzzy Sets and Systems
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
A decision personal index of fuzzy numbers based on neural networks
Fuzzy Sets and Systems
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
FSQL: a flexible query language for data mining
Enterprise information systems IV
Expert Systems with Applications: An International Journal
A multidimensional data model using the fuzzy model based on the semantic translation
Information Systems Frontiers
Hi-index | 0.00 |
At present we have a FSQL server available for Oracle漏 Databases, programmed in PL/SQL. This server allows us to query a Fuzzy or Classical Database with the FSQL language (Fuzzy SQL). The FSQL language is an extension of the SQL language which permits us to write flexible (or fuzzy) conditions in our queries to a fuzzy or traditional database. In this paper we have incorporated a method of ranking fuzzy numbers using Neural Networks to compare fuzzy quantities in FSQL. The main advantage is that any user can to train his own fuzzy comparator for any specific problem We consider that this model satisfies the requirements of Data Mining systems (high-level language, efficiency, certainty, interactivity, etc) and this new level of personal configuration makes the system very useful and flexible.