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JACIII Vol.15 No.3 pp. 299-303
doi: 10.20965/jaciii.2011.p0299
(2011)

Paper:

Compound Distance Function for Similarity Measurement Between Fuzzy Sets

László Kovács

Department of Information Technology, University of Miskolc, H-3515 Miskolc-Egyetemváros, Hungary

Received:
December 21, 2010
Accepted:
March 29, 2011
Published:
May 20, 2011
Keywords:
distance function, similarity of fuzzy sets, Hausdorff metric, Hamilton metric
Abstract

Distance is usually used to measure the similarity of different objects. The distance function has a key role in clustering, pattern recognition, in information retrieval. The compound real valued distance function on fuzzy sets we propose considers both key aspects of fuzzy sets – membership function and support set.

Cite this article as:
László Kovács, “Compound Distance Function for Similarity Measurement Between Fuzzy Sets,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.3, pp. 299-303, 2011.
Data files:
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