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

Mohammad Deni Akbar, Yoshihiro Mizoguchi, Adiwijaya

Research output: Contribution to journalConference article

1 Citation (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

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calculus
equivalence
projection
injection
formulations

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

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

In: Journal of Physics: Conference Series, Vol. 971, No. 1, 012001, 05.04.2018.

Research output: Contribution to journalConference article

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