Software Tools for Ontology Development

  • Dolzhenkov V
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

The paper presents the possibility of application of fuzzy logic to determine the odour intensity of model, ternary gas mixtures (α-pinene, toluene and triethylamine) using electronic nose prototype. The results obtained using fuzzy logic algorithms were compared with the values obtained using multiple linear regression (MLR) model and sensory analysis. As the results of the studies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system can be successfully used to estimate the odour intensity of tested gas mixtures. The correctness of the results obtained using fuzzy logic was equal to 68%.

Cite

CITATION STYLE

APA

Dolzhenkov, V. N. (2020). Software Tools for Ontology Development. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 935–941. https://doi.org/10.30534/ijatcse/2020/05922020

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free