Summary
In this paper we take into consideration group of decision making methods formed by the classifier fusion on the level of their discriminates . For such models we analyze what is the best way of assigning weights for them. Some analytical properties are of aforementioned methods are shown. Evaluation of proposed concept is done on the basis on computer experiment results.
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Woźniak, M., Zmyślony, M. (2010). Fusion Methods for the Two Class Recognition Problem – Analytical and Experimental Results. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_15
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DOI: https://doi.org/10.1007/978-3-642-16295-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16294-7
Online ISBN: 978-3-642-16295-4
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