A New Approach of Functional Dependency in a Neutrosophic Relational Database Model

Authors

  • Soumitra De Assistant Professor, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, India
  • Jaydev Mishra Assistant Professor, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.2.2142

Keywords:

Neutro-sophicSet, Similarity Measure of Neutrosophic Data, Neutro-sophic Functional Dependency, Neutro-sophic Key, Partial  -Nfd

Abstract

In order to model the imprecise and uncertain information, different classical relational data model have been studied in literature using vague set theory. However, neutrosophic set, as a generalized vague set, has more powerful ability to process fuzzy information than vague set. In this paper, we have proposed a neutrosophic relational database model and have defined a new kind of neutrosophic functional dependency (called  -nfd) based on the -equality of tuples and the similarity measure of neutrosophic sets. Next, we present a set of sound neutrosophic inference rules which are similar to Armstrong’s axioms for the classical case. Finally, partial  -nfdand neutrosophic key have been studied with the new notion of  -nfdand also tested.

References

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Published

27-04-2019

How to Cite

De, S., & Mishra, J. (2019). A New Approach of Functional Dependency in a Neutrosophic Relational Database Model. Asian Journal of Computer Science and Technology, 8(2), 44–48. https://doi.org/10.51983/ajcst-2019.8.2.2142