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» Rough Set Approximation as Formal Concept
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GEOINFORMATICA
2002
100views more  GEOINFORMATICA 2002»
13 years 7 months ago
Vagueness and Rough Location
This paper deals with the representation and the processing of information about spatial objects with indeterminate location like valleys or dunes (objects subject to vagueness). ...
Thomas Bittner, John G. Stell
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
ASIAMS
2007
IEEE
14 years 2 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
GRC
2007
IEEE
14 years 2 months ago
MGRS in Incomplete Information Systems
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classica...
Yuhua Qian, Jiye Liang, Chuangyin Dang
EUSFLAT
2009
120views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
On M-Approximative Operators and M-Approximative Systems
Abstract-- The concept of an M-approximative system is introduced. Basic properties of the category of M-approximative systems and in a natural way defined morphisms between them a...
Alexander P. Sostak