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A high performance, ad-hoc, fuzzy query processing system for relational databasesDatabase queries involving imprecise or fuzzy predicates are currently an evolving area of academic and industrial research. Such queries place severe stress on the indexing and I/O subsystems of conventional database environments since they involve the search of large numbers of records. The Datacycle architecture and research prototype is a database environment that uses filtering technology to perform an efficient, exhaustive search of an entire database. It has recently been modified to include fuzzy predicates in its query processing. The approach obviates the need for complex index structures, provides unlimited query throughput, permits the use of ad-hoc fuzzy membership functions, and provides a deterministic response time largely independent of query complexity and load. This paper describes the Datacycle prototype implementation of fuzzy queries and some recent performance results.
Document ID
Document Type
Conference Paper
Mansfield, William H., Jr.
(Bell Communications Research, Inc. Livingston, NJ, United States)
Fleischman, Robert M.
(Bell Communications Research, Inc. Livingston, NJ, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 2
Subject Category
Documentation And Information Science
Accession Number
Distribution Limits
Work of the US Gov. Public Use Permitted.

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