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Database design for storage of fuzzy information in Traditional Database

by Pankaj Gupta, Rahul Rishi, Harish Mittal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 2
Year of Publication: 2011
Authors: Pankaj Gupta, Rahul Rishi, Harish Mittal
10.5120/1916-2554

Pankaj Gupta, Rahul Rishi, Harish Mittal . Database design for storage of fuzzy information in Traditional Database. International Journal of Computer Applications. 15, 2 ( February 2011), 40-45. DOI=10.5120/1916-2554

@article{ 10.5120/1916-2554,
author = { Pankaj Gupta, Rahul Rishi, Harish Mittal },
title = { Database design for storage of fuzzy information in Traditional Database },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 2 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number2/1916-2554/ },
doi = { 10.5120/1916-2554 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:10.245654+05:30
%A Pankaj Gupta
%A Rahul Rishi
%A Harish Mittal
%T Database design for storage of fuzzy information in Traditional Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 2
%P 40-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fuzzy set approach has been applied in the database and information retrieval areas for nearly 30 years. Here we give consideration to aspects of these areas that seem to afford the greatest potential for further development. Imprecise information can be stored in traditional database using fuzzy linguistic terms (e.g. young, big) that are used frequently in daily life. Although these words are ambiguous, community agreement can be reached as to their meaning. The paper shows a mechanism to implement fuzzy information in a Traditional Database.

References
  1. Bosc P. and Pivert O., “SQLf: A Relational Database Language for Fuzzy Querying,” Computer Journal of IEEE Transactions on Fuzzy Systems, vol. 3, no. 1, pp. 80-89, 1995.
  2. Bosc P. and Pivert O., “SQLf Query Functionality on Top of a Regular Relational Database management,” in Proceedings of Knowledge Management in Fuzzy Databases, Heidelberg, pp. 171-190, 2000.
  3. L.A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems 1 (1978) 3-28. José Galindo, Handbook of Research on Fuzzy Information Processing in Databases, Information science reference, Hershey, New York, 2008
  4. Medina M., Pons O., and Vila A., “GEFRED: A Generalized Model of Fuzzy Relational Data Bases”, Computer Journal of Information Sciences, vol. 76, no. 1, pp. 87-109, 1994.
  5. Galindo J., Urrutia A., and Piattini M., Representation of Fuzzy Knowledge in Relational Databases, IEEE Computer Society, 2004.
  6. Galindo J., Urrutia A., and Piattini M., Fuzzy Databases: Modeling, Design and Implementation, Idea Group Publishing, Hershey, 2006.
  7. Medina M., Pons O., and Vila A., “FIRST: A Fuzzy Interface for Relational Systems,” in Proceedings of VI International Fuzzy Systems Association World Congress (IFSA), Sao Paulo, pp. 29-31, 1995.
  8. M. Umano and S. Fukami, Perspectives of fuzzy data¬bases, Japanese J. Fuzzy Theory and Systems 3 (1991) 75-91.
  9. Pankaj Gupta and Rahul Rishi, “ Recent trends of fuzzy databases and the roadmap ahead “.RMS Journal of Management and IT “ , vol.1,no. 2 pp.54-60,2009.
  10. Urrutia A., Galindo J., and Piattini M., “Modeling Data Using Fuzzy Attributes,” in Proceedings of the 22nd International Conference of the Chilean Computer Science Society (SCCC’02), UK, pp. 117-123, 2002.
  11. Zemankova M. and Kandel A., “Implementing Imprecision in Information Systems,” Computer Journal of Information Sciences, vol. 37, no. 1, pp. 107-141, 1985.
Index Terms

Computer Science
Information Sciences

Keywords

Database Fuzzy sets Fuzzy membership function Fuzzy relational database

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