Class dependency of fuzzy relational database using relational calculus and conditional probability

Mohammad Deni Akbar, Yoshihiro Mizoguchi, Adiwijaya

研究成果: ジャーナルへの寄稿Conference article

1 引用 (Scopus)

抄録

In this paper, we propose a design of fuzzy relational database to deal with a conditional probability relation using fuzzy relational calculus. In the previous, there are several researches about equivalence class in fuzzy database using similarity or approximate relation. It is an interesting topic to investigate the fuzzy dependency using equivalence classes. Our goal is to introduce a formulation of a fuzzy relational database model using the relational calculus on the category of fuzzy relations. We also introduce general formulas of the relational calculus for the notion of database operations such as 'projection', 'selection', 'injection' and 'natural join'. Using the fuzzy relational calculus and conditional probabilities, we introduce notions of equivalence class, redundant, and dependency in the theory fuzzy relational database.

元の言語英語
記事番号012001
ジャーナルJournal of Physics: Conference Series
971
発行部数1
DOI
出版物ステータス出版済み - 4 5 2018
イベントInternational Conference on Data and Information Science 2017, ICoDIS 2017 - Bandung, インドネシア
継続期間: 12 5 201712 6 2017

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calculus
equivalence
projection
injection
formulations

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

これを引用

Class dependency of fuzzy relational database using relational calculus and conditional probability. / Akbar, Mohammad Deni; Mizoguchi, Yoshihiro; Adiwijaya.

:: Journal of Physics: Conference Series, 巻 971, 番号 1, 012001, 05.04.2018.

研究成果: ジャーナルへの寄稿Conference article

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