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Some new fuzzy query processing methods based on similarity measurement and fuzzy data clustering

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In relational and object-oriented database systems, fuzzy or uncertain data will always be naturally present. However, these systems have many limitations for handling complex data types of fuzzy nature. Therefore, to represent and process fuzzy data, they need a flexible and efficient fuzzy query system. To solve this challenge, this paper proposes two different approaches to increase the flexibility of the fuzzy interrogation system.

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Nội dung Text: Some new fuzzy query processing methods based on similarity measurement and fuzzy data clustering

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