Supporting Queries with imprecise constraints in Total Neutrosophic Databases

α
Meena Arora
Meena Arora PhD in Computer Science & Engg., M.Tech, BE
σ
Dr.U.S.Pandey
Dr.U.S.Pandey
α Dr. A.P.J. Abdul Kalam Technical University

Send Message

To: Author

Supporting Queries with imprecise constraints in Total Neutrosophic Databases

Article Fingerprint

ReserarchID

SFRQU903

Supporting Queries with imprecise constraints in Total Neutrosophic Databases Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

Neutrosophic relation database model has been developed for representing and manipulating three kinds of uncertain information in databases: fuzzy, incomplete and inconsistent. The neutrosophic set is a powerful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. In order to handle inconsistent situation, we propose the relation-theoretic operations on them. We define algebraic operators that are generalizations of the usual operators such as intersection, union, selection, and join on fuzzy relations. We present an SQL-like SELECT statement construct for posing queries to total neutrosophic databases. The syntax and semantics of SELECT statement is defined for making it an effective tool for querying.

References

13 Cites in Article
  1. D Maier (1983). The Theory of Relational Databases.
  2. E Codd (1970). A relational model of data for large shared data banks.
  3. E Codd (1979). Extending the database relational model to capture more meaning.
  4. E Wong (1982). A statistical approach to incomplete information in database systems.
  5. J Biskup (1983). A foundation of codd's relational operations.
  6. K Liu,R Sunderraman (1990). Indefinite and may be information in relational databases.
  7. K-C Liu,R Sunderraman (1991). A generalized relational model for indefinite and maybe information.
  8. L Zadeh (1978). Fuzzy sets as a basis for a theory of possibility.
  9. R Cavallo,M Pottarelli (1987). The theory of probabilistic databases.
  10. S Parsons (1996). Current approaches to handling imperfect information in data and knowledge bases.
  11. Florentin Smarandache (1999). Introduction to Neutrosophy, Neutrosophic Set, Neutrosophic Probability, Neutrosophic Statistics and Their Applications to Decision Making.
  12. W Lipski (1979). On semantic issues connected with incomplete information databases.
  13. W Lipski (1981). On databases with incomplete information.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Meena Arora. 1970. \u201cSupporting Queries with imprecise constraints in Total Neutrosophic Databases\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science N/A (GJSFR Volume 11 Issue A8): .

Download Citation

Issue Cover
GJSFR Volume 11 Issue A8
Pg. 67- 72
Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Version of record

v1.2

Issue date

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 20725
Total Downloads: 11150
2026 Trends
Related Research

Published Article

Neutrosophic relation database model has been developed for representing and manipulating three kinds of uncertain information in databases: fuzzy, incomplete and inconsistent. The neutrosophic set is a powerful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. In order to handle inconsistent situation, we propose the relation-theoretic operations on them. We define algebraic operators that are generalizations of the usual operators such as intersection, union, selection, and join on fuzzy relations. We present an SQL-like SELECT statement construct for posing queries to total neutrosophic databases. The syntax and semantics of SELECT statement is defined for making it an effective tool for querying.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Supporting Queries with imprecise constraints in Total Neutrosophic Databases

Meena Arora
Meena Arora Dr. A.P.J. Abdul Kalam Technical University
Dr.U.S.Pandey
Dr.U.S.Pandey

Research Journals