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Communication Dans Un Congrès Année : 2017

Camphor odor recognition within unbalanced multi-sets

Nouha Chaoued
Amel Borgi
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Anne Laurent

Résumé

In fuzzy logic context, some works deal with the camphor odor perception. In this paper, we present a novel rule-based decision system for the camphor odor recognition within unbalanced multiset. Our first contribution consists in an adaptation of fuzzy knowledge representation and inference rules to the multi-valued logic context. The second contribution concerns the improvement of the knowledge base by changing facts representation and adding new rules. This proposition provides satisfactory results in term of precision, recall, F-measure and accuracy.
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Dates et versions

hal-01847702 , version 1 (08-10-2019)

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Nouha Chaoued, Amel Borgi, Anne Laurent. Camphor odor recognition within unbalanced multi-sets. FUZZ-IEEE 2017 - International Conference on Fuzzy Systems, Jul 2017, Naples, Italy. pp.1-6, ⟨10.1109/FUZZ-IEEE.2017.8015540⟩. ⟨hal-01847702⟩
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