Abstract

Considerable research effort has been spent on methods for representing imprecise information in various database models by using the fuzzy set theory. However, the research directed toward access structures to handle fuzzy querying effectively is still at an immature stage. Fuzzy querying involves more complex processing than the ordinary querying does. A larger number of tuples are possibly selected by fuzzy queries as compared to the crisp queries. It is obvious that the need for fast response time is very important when the database systems deal with imprecise (fuzzy) data. The current crisp index structures are inappropriate for representing and efficiently accessing fuzzy data. It is necessary to allow both the non-fuzzy and fuzzy attributes to be indexed together; therefore, a multidimensional access structure is required. In this chapter we describe a multi-dimensional data structure, namely Multi Level Grid File (MLGF), which can efficiently access both crisp and fuzzy data from fuzzy databases. Besides suitable access structures, an effective partitioning, representation, and storage of fuzzy data are necessary for efficient retrieval. The implementation of the access structure is described and compared with extant fuzzy access methods.KeywordsFuzzy Access StructuresPhysical DesignFuzzy DatabasesMulti Level Grid FileFuzzy Partitioning

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