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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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Abstract

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.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2000,
Title:Measures of classification accuracy based on fuzzy similarity
Authors:
AuthorsInstitution or Email of Authors
Jäger, G.UNSPECIFIED
Benz, U.UNSPECIFIED
Date:2000
Journal or Publication Title:IEEE - Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:38
Page Range:pp. 1462-1467
Status:Published
Keywords:Accuracy measures, classification, error matrix
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
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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