THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY.

Authors :: Jiye Liang
Zhongzhi Shi
Source :: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Feb2004, Vol. 12 Issue 1, p37-46. 10p.
Publication Year :: 2004
Abstract: Rough set theory is a relatively new mathematical tool for use in computer applications in circumstances which are characterized by vagueness and uncertainty. In this paper, we introduce the concepts of information entropy, rough entropy and knowledge granulation in rough set theory, and establish the relationships among those concepts. These results will be very helpful for understanding the essence of concept approximation and establishing granular computing in rough set theory. [ABSTRACT FROM AUTHOR]

Subjects :: *ENTROPY (Information theory)
*ERGODIC theory
*INFORMATION theory
*MATHEMATICS
*SET theory
*GRAPHICAL projection

Language :: English
ISSN :: 02184885
Volume :: 12
Issue :: 1
Database :: Academic Search Index
Journal :: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems
Publication Type :: Academic Journal
Accession number :: 13063871
Full Text :: https://doi.org/10.1142/S0218488504002631

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