A Rough Set Perspective on Knowledge Discovery in Information Systems: An Essay on the Topic of the Book
The underlying ideas of rough set theory — proposed by Zdzislaw Pawlak in the early 1980’s — have been developed into a manifold theory for the purpose of data and knowledge analysis, due to a systematic growth of interest in this theory in the scientific community, witnessed by — among others — a bibliography of over four hundred research papers on rough sets and their applications produced in the last couple of years and appendiced to this collection of expository papers (in the sequel, we refer to items in this bibliography (see Appendix 1) with indices like [X]xyz where X = A or X = B and xyz is the number of the item in the list X).
KeywordsDecision System Decision Class Conditional Attribute Discernibility Matrix Prime Implicants
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