Attribute reduction based on interval-set rough sets

As an important extension of the rough set theory, interval-set rough sets provide an effective method to solve the problem that the objective sets cannot be accurately expressed in the rough approximation process and to induce classification rules from incomplete information systems. In practical i...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2024-02, Vol.28 (3), p.1893-1908
Hauptverfasser:	Ren, Chunge, Zhu, Ping
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algebraic Algorithms Analytical Methods in Soft Computing Approximation Artificial Intelligence Computational Intelligence Control Engineering Foundation Fuzzy sets Information systems Mathematical analysis Mathematical Logic and Foundations Mechatronics Reduction Robotics Rough set models Roughness Set theory
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