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Andrzej Skowron
Researcher at University of Warsaw
Publications - 383
Citations - 21127
Andrzej Skowron is an academic researcher from University of Warsaw. The author has contributed to research in topics: Rough set & Granular computing. The author has an hindex of 56, co-authored 380 publications receiving 20449 citations. Previous affiliations of Andrzej Skowron include University at Albany, SUNY & Systems Research Institute.
Papers
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Journal ArticleDOI
Rudiments of rough sets
Zdziasław Pawlak,Andrzej Skowron +1 more
TL;DR: The basic concepts of rough set theory are presented and some rough set-based research directions and applications are pointed out, indicating that the rough set approach is fundamentally important in artificial intelligence and cognitive sciences.
Book ChapterDOI
The Discernibility Matrices and Functions in Information Systems
Andrzej Skowron,Cecylia Rauszer +1 more
TL;DR: In this article, the authors introduce two notions related to any information system, namely the discernibility matrix and discernibility function, and obtain several algorithms for solving problems related among other things to the rough definability, reducts, core and dependencies generation.
Journal ArticleDOI
Rough sets: Some extensions
Zdzisław Pawlak,Andrzej Skowron +1 more
TL;DR: Some extensions of the rough set approach are presented and a challenge for the roughSet based research is outlined and it is outlined that the current rough set based research paradigms are unsustainable.
Journal ArticleDOI
Tolerance approximation spaces
TL;DR: In tolerance approximation spaces the lower and upper set approximations are defined and the tolerance relation defined by the so called uncertainty function or the positive region of a given partition of objects have been chosen as invariants in the attribute reduction process.
Journal ArticleDOI
Rough sets and Boolean reasoning
Zdzisław Pawlak,Andrzej Skowron +1 more
TL;DR: Methods based on the combination of rough sets and Boolean reasoning with applications in pattern recognition, machine learning, data mining and conflict analysis are discussed.