An Extended Relational Model & SQL for Fuzzy Multidatabases

An Extended Relational Model & SQL for Fuzzy Multidatabases

Author: 
Sharma, Awadhesh Kumar
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2011
Record type: 
Responsibility: 
Goswami, A., jt. author
Gupta, D.K., jt. author
Editor: 
Yan, Li
Journal Title: 
Advanced Database Query Systems
Source: 
Advanced Database Query Systems
Abstract: 

Many real world problems involve imprecise and ambiguous information rather than crisp information. Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. Fuzzy query processing in multidatabases have been extensively studied, however, the same has rarely been addressed for fuzzy multidatabases. This chapter attempts to extend the SQL to formulate a global fuzzy query on a fuzzy multidatabase under FTS relational model discussed earlier. The chapter provides architecture for distributed fuzzy query processing with a strategy for fuzzy query decomposition and optimization. Proofs of consistent global fuzzy operations and some of algebraic properties of FTS Relational Model are also supplemented.

Series: 
Advances in Data Mining and Database Management

CITATION: Sharma, Awadhesh Kumar. An Extended Relational Model & SQL for Fuzzy Multidatabases edited by Yan, Li . Hershey, PA : IGI Global , 2011. Advanced Database Query Systems - Available at: https://library.au.int/frextended-relational-model-sql-fuzzy-multidatabases