Skip to main content

Using Fuzzy Analogical Reasoning to Refine the Query Answers for Relational Databases with Imprecise Information

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

Included in the following conference series:

Abstract

In this paper, we use the notion of equivalence degree of fuzzy data, by which we can mine the rules of fuzzy functional dependencies from the fuzzy relational databases. Following the rules of fuzzy functional dependencies, we can apply the frame of analogical reasoning to refine the imprecise query answer for the relational databases with imprecise information.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Buckles, B.P., Petry, F.E.: A Fuzzy Representation of Data for Relational Database. Fuzzy Sets and Systems 7(3), 213–226 (1982)

    Article  MATH  Google Scholar 

  2. Codd, E.F.: Extending the Database Relational Model to Capture More Meaning. ACM Transactions on Database Systems 4(4), 397–434 (1979)

    Article  Google Scholar 

  3. DeMichiel, L.G.: Resolving Database Incompatibility: An Approach to Performing Relational Operations over Mismatched Domains. IEEE Transactions on Knowledge and Data Engineering 1(4), 485–493 (1989)

    Article  Google Scholar 

  4. Dutta, S.: Approximate Reasoning by Analogy to Null Queries. International Journal of Approximate Reasoning 5, 373–398 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  5. Hale, J., Shenoi, S., Analyzing, F.D.: Inference in Relational Databases. Data and Knowledge Engineering 18, 167–183 (1996)

    Article  MATH  Google Scholar 

  6. Liao, S.Y., Wang, H.Q., Liu, W.Y.: Functional Dependencies with Null Values. Fuzzy Values, and Crisp Values. IEEE Transactions on Fuzzy Systems 7(1), 97–103 (1999)

    Article  Google Scholar 

  7. Ma, Z.M., Zhang, W.J., Ma, W.Y.: Semantic Measure of Fuzzy Data in Extended Possibility-based Fuzzy Relational Databases. International Journal of Intelligent Systems 15(8), 705–716 (2000)

    Article  MATH  Google Scholar 

  8. Ma, Z.M., Zhang, W.J., Ma, W.Y., Mili, F.: Data Dependencies in Extended Possibility-Based Fuzzy Relational Databases. International Journal of Intelligent Systems 17(3), 321–332 (2002)

    Article  MATH  Google Scholar 

  9. Ma, Z.M., Zhang, W.J., Mili, F.: Fuzzy Data Compression Based on Data Dependencies. International Journal of Intelligent Systems 17(4), 409–426 (2002)

    Article  MATH  Google Scholar 

  10. Prade, H., Testemale, C.: Generalizing Database Relational Algebra for the Treatment of Incomplete or Uncertain Information and Vague Queries. Information Sciences 34, 115–143 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  11. Raju, K.V.S.V.N., Majumdar, A.K.: Fuzzy Functional Dependencies and Lossless Join Decomposition of Fuzzy Relational Database Systems. ACM Transactions on Database Systems 13(2), 129–166 (1988)

    Article  Google Scholar 

  12. Rundensteiner, E.A., Hawkes, L.W., Bandler, W.: On Nearness Measures in Fuzzy Relational Data Models. International Journal of Approximate Reasoning 3, 267–298 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  13. Shenoi, S., Melton, A.: Proximity Relations in the Fuzzy Relational Databases. Fuzzy Sets and Systems 31(3), 285–296 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  14. Tseng, F.S.C., Chen, A.L.P., Yang, W.P.: Refining Imprecise Data by Integrity Constraints. Data and Knowledge Engineering 11(3), 299–316 (1993)

    Article  MATH  Google Scholar 

  15. Zadeh, L.A.: Fuzzy Sets. Information and Control 8(3), 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  16. Zadeh, L.A.: Fuzzy Sets as a Basis for a Theory of Possibility. Fuzzy Sets and Systems 1(1), 3–28 (1978)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ma, Z.M., Yan, L., Li, G. (2005). Using Fuzzy Analogical Reasoning to Refine the Query Answers for Relational Databases with Imprecise Information. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_34

Download citation

  • DOI: https://doi.org/10.1007/11539506_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics