- 期刊
Answers to Database Queries Concerning Imprecise Information in Logical Fuzzy Relational Databases
並列摘要
An extended fuzzy relational database model is proposed. The proposed model uses first-order logic to express both imprecision and uncertainty in data. A method for measuring the quality of answers to Select-Project-Join (SPJ) queries is described. The method of measurement determines the extent to which how much satisfactory information is provided, and how much extra information is required to a query. The essence of this work is the detailed discussion on sure and maybe information in an extended fuzzy relation to query processing, and its consideration of the redundancy problem.
延伸閱讀
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