Paper Info
Title
Attribute Composition Distribution and Rough Law Status Estimation
Abstract
Function S-rough sets has dynamic characteristics and law characteristics. By employing function S-rough sets and the method of law generation, this paper proposes the concepts of attribute composition distribution and rough law distance. Then by using these concepts, this paper analyzes the relations between attribution composition distribution with rough law, moreover presents a series of theorems about the relations between rough law decomposition with attribute composition distribution. At last, an example is given for explaining the rough law status estimation. The results of this paper are the theory base of law mining and system status recognition.
Year
DOI
Venue
2008
10.1109/FSKD.2008.216
FSKD (5)
Keywords
Field
DocType
rough law status estimation,rough law,attribute composition distribution,rough law distance,function s-rough set,attribution composition distribution,law characteristic,law generation,rough law decomposition,law mining,estimation,polynomials,functional analysis,distribution function,equivalence classes,artificial neural networks,finite element methods,rough set theory,rough set
Distance measurement,Polynomial,Rough set,Equivalence class,Artificial neural network,Law,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Shunliang Huang101.35
Guan-yu Zhang200.34
Ling Zhang314314.77
Kai-quan Shi411.64