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» Roughness bounds in rough set operations
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ISMIS
2003
Springer
13 years 10 months ago
Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...
Y. Y. Yao, Churn-Jung Liau, Ning Zhong
ISMIS
2005
Springer
13 years 10 months ago
Subsystem Based Generalizations of Rough Set Approximations
Abstract. Subsystem based generalizations of rough set approximations are investigated. Instead of using an equivalence relation, an arbitrary binary relation is used to construct ...
Yiyu Yao, Yaohua Chen
RSKT
2007
Springer
13 years 11 months ago
ROSA: An Algebra for Rough Spatial Objects in Databases
Abstract. A fundamental data modeling problem in geographical information systems and spatial database systems refers to an appropriate treatment of the vagueness or indeterminacy ...
Markus Schneider, Alejandro Pauly
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
RSKT
2010
Springer
13 years 3 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen