Performance Analysis of Rough Set–Based Hybrid Classification Systems in the Case of Missing Values

The paper presents a performance analysis of a selected few rough set–based classification systems. They are hybrid solutions designed to process information with missing values. Rough set-–based classification systems combine various classification methods, such as support vector machines, k–neares...

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Veröffentlicht in:	Journal of Artificial Intelligence and Soft Computing Research 2021-10, Vol.11 (4), p.307-318
Hauptverfasser:	Nowicki, Robert K., Seliga, Robert, Żelasko, Dariusz, Hayashi, Yoichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Fuzzy logic Fuzzy set theory Fuzzy systems Hybrid systems Machine learning Neural networks Real numbers Support vector machines
Online-Zugang:	Volltext
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