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Classification of objects by means of attributes
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TLDR
This paper presents a meta-analysed version of the model derived from the model developed in the second generation of the ICS PAS computer models developed in 1981.Abstract:
W: ICS PAS Reports 429/81, pages 1-20. Institute of Computer Science Polish Academy of Sciences (ICS PAS), Warsaw, Poland, 1981read more
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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.
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.
Book ChapterDOI
Computational Intelligence: An Introduction
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Knowledge Acquisition under Uncertainty- a Rough Set Approach
TL;DR: The paper describes knowledge acquisition under uncertainty using rough set theory, a concept introduced by Z. Pawlak in 1981, and shows that some classifications are theoretically (and, therefore, in practice) forbidden.
Book ChapterDOI
Approximate boolean reasoning: foundations and applications in data mining
TL;DR: The presentation of the theoretical foundation of RSABR as well as its application in solving many data mining problems and knowledge discovery in databases such as feature selection, feature extraction, data preprocessing, classification of decision rules and decision trees, association analysis.