A New Approach for Query Processing and Optimization Base on the Fuzzy Object Algebra and Equivalent Transformation Rules
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 2
Abstract
For enhancing the effeciency of processing users’ queries, all Database Management Systems (DBMSs) must conduct query pre-processing, or query optimizing. This paper proposes a new model for the Fuzzy Object Oriented DBMS (FOO-DBMS), which optimizes the query statements and processes the data before returning back to users based on Fuzzy-Object-Algebra and equivalant transformation rules. Discussions on this model are also presented with computation and analysis.
Authors and Affiliations
Thuan T. Nguyen, Ban V. Doan, Chau N. Truong, Trinh T. T. Tran
Keywords
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- EP ID EP275569
- DOI 10.14738/tmlai.52.3105
- Views 57
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