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- W141888275 abstract "Over the last decades, many fuzzy classification algorithms have been proposed for image classification,and in particular to classify those images obtained by remote sensing.But relatively little effort has been done to evaluate goodness or effectiveness of such algorithms. Such a problem is most of the times solved by means of a subjective evaluation, meanwhile in the crisp case qualityevaluation can be based upon an error matrix, in which the reference data set (the expert classi-fication) and crisp classifiers data set are been compared using specificaccuracy measures. In this paper,some of these measures are translated into the fuzzy case, so that more general accuracy measures between fuzzy classifiers and the reference data set can be considered." @default.
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- W141888275 date "2006-01-01" @default.
- W141888275 modified "2023-09-26" @default.
- W141888275 title "Accuracy measures for fuzzy classification in remote sensing" @default.
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