Rough Sets and Decision Rules in Fuzzy Set-Valued Information Systems

Set-valued Information Systems(SVISs) are generalized forms of Crisp Information Systems(CISs) and common in practice. This paper defines a fuzzy inclusion relation in Fuzzy Set-valued Information Systems(FSVISs). By means of two parameters of inclusion degree λ1 and λ2, we define the rough sets in...

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Bibliographische Detailangaben

Hauptverfasser:	Zhu, Danjun, Feng, Boqin, Guan, Tao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Decision Attribute Decision Rule Exact sciences and technology Fuzzy Number Fuzzy Partition Information systems. Data bases Memory organisation. Data processing Rule Extraction Software
Online-Zugang:	Volltext
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