Sciweavers

13 search results - page 1 / 3
» Data analysis based on discernibility and indiscernibility
Sort
View
ISCI
2007
131views more  ISCI 2007»
13 years 4 months ago
Data analysis based on discernibility and indiscernibility
Yan Zhao, Yiyu Yao, Feng Luo
FOCI
2007
IEEE
13 years 8 months ago
Conflict Analysis Based on Discernibility and Indiscernibility
Abstract-- The dual notions of discernibility and indiscernibility play an important role in intelligent data analysis. While discernibility focuses on the differences, the indisce...
Yiyu Yao, Yan Zhao
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 6 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
TRS
2008
13 years 4 months ago
Generalized Indiscernibility Relations: Applications for Missing Values and Analysis of Structural Objects
In this paper, we discuss an approach to structural objects based on a generalisation of indiscernibility relation used in rough set theory. The existing results in rough set theor...
Wojciech Jaworski
JCIT
2007
107views more  JCIT 2007»
13 years 4 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski