DocumentCode
3391503
Title
Knowledge reduction in interval-valued information systems
Author
Miao, Duoqian ; Zhang, Nan ; Yue, Xiaodong
Author_Institution
Dept. of Comput. Sci. & Technol., Tongji Univ., Shanghai, China
fYear
2009
fDate
15-17 June 2009
Firstpage
320
Lastpage
327
Abstract
In this paper, the concept of alpha-maximal consistent blocks is proposed to formulate the new rough approximations to an arbitrary object set in interval-valued information systems. The alpha-maximal consistent blocks can provide the simpler discernibility matrices and discernibility functions in reduction of interval-valued information systems. This means that they can provide a more efficient computation for knowledge acquisitions. Numerical examples are employed to substantiate the conceptual arguments.
Keywords
information systems; knowledge acquisition; matrix algebra; alpha-maximal consistent block; arbitrary object set; discernibility function; interval-valued information system; knowledge acquisition; knowledge reduction; simpler discernibility matrices; Fuzzy sets; Image analysis; Information analysis; Information systems; Knowledge acquisition; Lattices; Logic; Pattern analysis; Rough sets; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location
Kowloon, Hong Kong
Print_ISBN
978-1-4244-4642-1
Type
conf
DOI
10.1109/COGINF.2009.5250721
Filename
5250721
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