Abstract

Many agree that relational databases, like any other model of the real world, are imperfect artefacts. Hence, they cannot cover all occurrences and variety of data, in our case fuzzy data. Fuzzy values of attributes cannot be directly stored in traditional relational databases due to the first normal form. On the other hand, relational databases are broadly used. We firstly examine the way, how to store fuzzy data in traditional relational databases by satisfying normal forms in order to keep the integrity of a database in an usual way. Databases which are in use should be straightforwardly converted into fuzzy relational databases, when users decide that some attributes are better expressed by fuzzy data than by crisp values. Moreover, attributes which remain crisp, should not be affected. This improvement can be realized by fuzzy meta model of relational database. The second part of the chapter is focused on querying and summarizing fuzzy databases.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.