In this chapter, the basics of the rough set approach are presented, and an outline of an exemplary processor structure is given. The organization of a simple processor is based on elementary rough set granules and dependencies between them. The rough set processor (RSP) is meant to be used as an additional fast classification unit in ordinary computers or as an autonomous learning machine. In the latter case, the RSP can be regarded as an alternative to neural networks.
CITATION STYLE
Pawlak, Z. (2004). Elementary Rough Set Granules: Toward a Rough Set Processor (pp. 5–13). https://doi.org/10.1007/978-3-642-18859-6_1
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