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

Mohammad Deni Akbar, Yoshihiro Mizoguchi, Adiwijaya

    Research output: Contribution to journalConference articlepeer-review

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number012001
    JournalJournal of Physics: Conference Series
    Volume971
    Issue number1
    DOIs
    Publication statusPublished - Apr 5 2018
    EventInternational Conference on Data and Information Science 2017, ICoDIS 2017 - Bandung, Indonesia
    Duration: Dec 5 2017Dec 6 2017

    All Science Journal Classification (ASJC) codes

    • Physics and Astronomy(all)

    Fingerprint Dive into the research topics of 'Class dependency of fuzzy relational database using relational calculus and conditional probability'. Together they form a unique fingerprint.

    Cite this