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
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;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250721
