An indexing technique for similarity-based fuzzy object-oriented data model (food index)

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2003
İnce, Çagrı

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An indexing technique for similarity-based fuzzy object-oriented data model
Yazıcı, Adnan; Koyuncu, M (2004-01-01)
Fuzzy object-oriented data model is a fuzzy logic-based extension to object-oriented database model, which permits uncertain data to be explicitly represented. One of the proposed fuzzy object-oriented database models based on similarity relations is the FOOD model. Several kinds of fuzziness are dealt with in the FOOD model, including fuzziness between object/class and class/superclass relations. The traditional index structures are inappropriate for the FOOD model for an efficient access to the objects wi...
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Fuzzy querying involves more complex processing than ordinary querying does. In addition, a larger number of tuples will possibly be selected by fuzzy conditions compared to the crisp ones. The current index structures are inefficient in representing and dealing with uncertain and fuzzy data. In this paper we extend one of the multi-dimensional data structures, namely Multi Lever Grid File (Whang and Krishnamurty, 1991) for an efficient access to both crisp and fuzzy data. In order to take advantage of the ...
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A significant effort has been made in representing imprecise information in database models by using 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. Additionally, a larger number of tuples are possibly selected by fuzzy conditions in comparison to the crisp ones. It is obvious that the need for fast response time becomes very important...
Citation Formats
Ç. İnce, “An indexing technique for similarity-based fuzzy object-oriented data model (food index),” M.S. - Master of Science, Middle East Technical University, 2003.