On rule acquisition in incomplete multi-scale decision tables

Granular computing and acquisition of IF-THEN rules are two basic issues in knowledge representation and data mining. A rough set approach to knowledge discovery in incomplete multi-scale decision tables from the perspective of granular computing is proposed in this paper. The concept of incomplete...

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Veröffentlicht in:	Information sciences 2017-02, Vol.378, p.282-302
Hauptverfasser:	Wu, Wei-Zhi, Qian, Yuhua, Li, Tong-Jun, Gu, Shen-Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Belief functions Computation Data mining Granular computing Granular materials Granules Incomplete information tables Knowledge acquisition Multi-scale decision tables Optimization Rough sets Tables
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