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- W2145118001 abstract "This paper presents two versions of a general type-2 fuzzy classifier. The focus is on interpretability since the rules are meaningful and the rule base is comprised of few rules, which is a direct consequence of the hierarchical reclassification process being proposed. The approaches are evaluated on a land cover classification problem by using data from a remote sensing platform. The classifiers' performance are compared with the reference ones' (maximum likelihood classifier and ordinary fuzzy classifier). The results show that the general type-2 fuzzy modeling is able to produce accurate classifiers while maintaining the model interpretability." @default.
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- W2145118001 date "2009-01-01" @default.
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- W2145118001 title "Towards Interpretable General Type-2 Fuzzy Classifiers" @default.
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- W2145118001 doi "https://doi.org/10.1109/isda.2009.28" @default.
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