Measures of classification accuracy based on fuzzy similarity
Jäger, G. and Benz, U. (2000) Measures of classification accuracy based on fuzzy similarity. IEEE - Transactions on Geoscience and Remote Sensing, 38 (3), pp. 1462-1467.
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For the validation of classifications, different accuracy measures are known, mostly based on the confusion matrix. We develop a common basis for these measures and show that fuzzy similarity not only provides an additional possibility of measuring classification accuracy but also generalizes some of the traditional notions to fuzzy ground truth and fuzzy classifications.
|Title:||Measures of classification accuracy based on fuzzy similarity|
|Journal or Publication Title:||IEEE - Transactions on Geoscience and Remote Sensing|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 1462-1467|
|Keywords:||Accuracy measures, classification, error matrix|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||UNSPECIFIED|
|Institutes and Institutions:||Microwaves and Radar Institute|
|Deposited By:||elib DLR-Beauftragter|
|Deposited On:||16 Sep 2005|
|Last Modified:||06 Jan 2010 19:34|
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