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Similarity classifier with OWA operators

version 1.1.0.0 (12.5 KB) by Pasi Luukka
Toolbox presents vector based classification method which uses similarity measures and OWA operators

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Updated 10 Dec 2012

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Similarity classifier with OWA operators toolbox presents vector based classification method which uses similarity measures and OWA operators to make a distiction to which class samples belong. It creates ideal vectors for each class and then uses similarity to measure how similar the samples are compared to each ideal vector. These similarity vectors are then aggregated by OWA operators. For more information about the method see the original publication:

P. Luukka, O. Kurama, Similarity classifier with ordered weighted averaging operators,
Expert Systems With Applications, 40, (2013), pp. 995-1002

Cite As

Pasi Luukka (2022). Similarity classifier with OWA operators (https://www.mathworks.com/matlabcentral/fileexchange/38871-similarity-classifier-with-owa-operators), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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