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

Mohammad Deni Akbar, Yoshihiro Mizoguchi, Adiwijaya

    研究成果: Contribution to journalConference article査読

    2 被引用数 (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.

    本文言語英語
    論文番号012001
    ジャーナルJournal of Physics: Conference Series
    971
    1
    DOI
    出版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

    All Science Journal Classification (ASJC) codes

    • 物理学および天文学(全般)

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