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2004 | OriginalPaper | Buchkapitel

Algebras from Rough Sets

verfasst von : Mohua Banerjee, Mihir K. Chakraborty

Erschienen in: Rough-Neural Computing

Verlag: Springer Berlin Heidelberg

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Rough set theory has seen nearly two decades of research on both foundations and on diverse applications. A substantial part of the work done on the theory has been devoted to the study of its algebraic aspects. ‘Rough algebras’ now abound, and have been shown to be instances of various algebraic structures, both well-established and relatively new, e.g., quasi-Boolean, Stone, double Stone, Nelson, Lukasiewicz algebras, on the one hand, and topological quasi-Boolean, prerough and rough algebras, on the other. More interestingly and importantly, some of these latter algebras find a new dimension (interpretation) through representations as rough structures. An attempt is made here to present the various relationships and to discuss the representation results.

Metadaten
Titel
Algebras from Rough Sets
verfasst von
Mohua Banerjee
Mihir K. Chakraborty
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-18859-6_7