Summary
Rough hybrid methods are used worldwide for pattern recognition and classification problems. In this chapter, WaRS, a combination of wavelets with rough set tools is presented, and examples of its application to problems of artificial and real-life (biomedical) origin are supplied.
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Wojdyłło, P. (2004). WaRS: A Method for Signal Classification. In: Pal, S.K., Polkowski, L., Skowron, A. (eds) Rough-Neural Computing. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18859-6_27
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DOI: https://doi.org/10.1007/978-3-642-18859-6_27
Publisher Name: Springer, Berlin, Heidelberg
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