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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
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)
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)
Dubois, D., Prade, H.: Possibility theory. Plenum Press, New York (1988)
Dubois, D., Prade, H.: The three semantics of fuzzy sets. Fuzzy Sets and Systems 90(2) (1997)
Author information
Authors and Affiliations
Editor information
Rights 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)