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ICDE
1995
IEEE

Efficient Processing of Nested Fuzzy SQL Queries

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Efficient Processing of Nested Fuzzy SQL Queries
?In a fuzzy relational database where a relation is a fuzzy set of tuples and ill-known data are represented by possibility distributions, nested fuzzy queries can be expressed in the Fuzzy SQL language, as defined in [25], [23]. Although it provides a very convenient way for users to express complex queries, a nested fuzzy query may be very inefficient to process with the naive evaluation method based on its semantics. In conventional databases, nested queries are unnested to improve the efficiency of their evaluation. In this paper, we extend the unnesting techniques to process several types of nested fuzzy queries. An extended merge-join is used to evaluate the unnested fuzzy queries. As shown by both theoretical analysis and experimental results, the unnesting techniques with the extended merge-join significantly improve the performance of evaluating nested fuzzy queries.
Qi Yang, Chengwen Liu, Jing Wu, Clement T. Yu, Son
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 1995
Where ICDE
Authors Qi Yang, Chengwen Liu, Jing Wu, Clement T. Yu, Son Dao, Hiroshi Nakajima
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