Incomplete Concept Lattice Data Analytical Method Research Based on Rough Set Theory

Abstract:

Article Preview

Concept lattice and rough set are powerful tools for data analyzing and processing, has been successfully applied to many fields. However, the decision information is incomplete in many information systems. In this paper, the definition of incomplete concept lattice has been proposed, and some relation established between imperfect concept lattice and rough set. As is very important that the paper gives a new attributes reduction algorithm about incomplete concept lattice aims at the matter of the inefficient of reduction strategy based on discernibility matrix. Comparing with the attributes reduction for incomplete concept lattice which based on discernibility matrix, this reduction algorithm, reduces the spatial-temporal complexity.

Info:

Periodical:

Edited by:

Shaobo Zhong, Yimin Cheng and Xilong Qu

Pages:

180-184

DOI:

10.4028/www.scientific.net/AMM.50-51.180

Citation:

J. P. Wang et al., "Incomplete Concept Lattice Data Analytical Method Research Based on Rough Set Theory", Applied Mechanics and Materials, Vols. 50-51, pp. 180-184, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.