Skip to main content

A Hierarchical Approach to Object Comparison

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 4529)

Abstract

Comparing objects is a very general problem domain. The way objects are compared can differ a lot, in the way objects are related to each other as well as in the meaning that is attributed to the result of a comparison. In this paper we develop a theoretical framework for comparing objects. This framework can be tailored to the specific needs of an application through the choice of appropriate operators and evaluation domain (i.e. the domain in which the comparison results are expressed).

Keywords

  • Evaluation Operator
  • Email Address
  • Domain Expert
  • Hierarchical Approach
  • Aggregation Operator

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Marín, N., Medina, J.M., Pons, O., Sánchez, D., Villa, M.A.: Complex object comparison in a fuzzy context. Information and Software Technology 45, 431–444 (2003)

    CrossRef  Google Scholar 

  2. Berzal, F., Cubero, J.C., Kacprzyk, J., Marín, N., Villa, M.A., Zadrozny, S.: Computing with Words using Metadata-Based Programming. In: Proc. of the IFSA 2005 World Congress, Beijing, China (July 2005)

    Google Scholar 

  3. De Tré, G., Hallez, A., Verstraete, J., Verkeyn, A.: Beyond Conjunctive Aggregation of Possibilistic Truth Values in Database Systems. In: Proc. of the Eurofuse 2002 Workshop on Information Systems, Varenna, Italy, September 2002, pp. 137–142 (2002)

    Google Scholar 

  4. De Tré, G., De Baets, B.: Aggregating Constraint Satisfaction Degrees Expressed by Possibilistic Truth Values. IEEE Transactions on Fuzzy Systems 11(3), 354–360 (2003)

    CrossRef  Google Scholar 

  5. Dubois, D., Prade, H.: Possibility theory. Plenum Press, New York (1988)

    MATH  Google Scholar 

  6. Dubois, D., Prade, H.: The three semantics of fuzzy sets. Fuzzy Sets and Systems 90(2) (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Patricia Melin Oscar Castillo Luis T. Aguilar Janusz Kacprzyk Witold Pedrycz

Rights and permissions

Reprints and Permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Hallez, A., De Tré, G. (2007). A Hierarchical Approach to Object Comparison. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72950-1_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72917-4

  • Online ISBN: 978-3-540-72950-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics