Ranking invariance between fuzzy similarity measures applied to image retrieval

Abstract : In this paper, we first introduce the fuzzy similarity measures in the context of a CBIR system. This leads to the observation of an invariance in the ranking for different similarity measures. We then propose an explanation to this phenomenon, and a larger theory about order invariance for fuzzy similaritymeasures. We introduce a definition for equivalence classes based on order conservation between these measures. We then study the consequences of this theory on the evaluation of document retrieval by fuzzy similarity.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01075331
Contributor : Maria Rifqi <>
Submitted on : Friday, October 17, 2014 - 12:08:45 PM
Last modification on : Thursday, March 21, 2019 - 1:07:23 PM

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  • HAL Id : hal-01075331, version 1

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Jean-François Omhover, Marcin Detyniecki, Maria Rifqi, Bernadette Bouchon-Meunier. Ranking invariance between fuzzy similarity measures applied to image retrieval. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2004, Jul 2004, Budapest, Hungary. pp.1367--1372. ⟨hal-01075331⟩

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