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- W2807232009 abstract "Here, we focused to operate imprecise queries on a fuzzy relational database which consists of imprecise data. Neutrosophic set is based on indeterminacy membership value along with other two values which is not present in vague set. Firstly, we have applied similarity measure formula on neutrosophic and vague data for getting the similarity value for each row. Next, we provide a a-cut value for the query which is based on imprecise part. The query return back different result sets for different a-cut values for checking the closeness between two different set. Finally, we have given suitable examples of vague and neutrosophic data for imprecise query and compare between the two different outcomes and shown that indeterminacy part of a neutrosophic database has given much better result than any other form of imprecise database oriented query. Also we have found the primary key of neutrosophic data from the table which is consists of inconsistent data. This primary key will help us for normalizing the neutrosophic relation." @default.
- W2807232009 created "2018-06-13" @default.
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- W2807232009 creator A5055484069 @default.
- W2807232009 date "2017-11-01" @default.
- W2807232009 modified "2023-09-23" @default.
- W2807232009 title "Processing of inconsistent neutrosophic data and selecting primary key from the relation" @default.
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- W2807232009 doi "https://doi.org/10.1109/icici.2017.8365363" @default.
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