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» Exploiting Upper Approximation in the Rough Set Methodology
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TSMC
2010
13 years 13 days ago
Incomplete Multigranulation Rough Set
The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
Yuhua Qian, Jiye Liang, Chuangyin Dang
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
Abstract. We provide the unified methodology for searching for approximate decision reducts based on rough membership distributions. Presented study generalizes well known relation...
Maciej Borkowski, Dominik Slezak
RSKT
2007
Springer
13 years 12 months ago
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
JACIII
2006
114views more  JACIII 2006»
13 years 5 months ago
A Theoretical Formulation of Object-Oriented Rough Set Models
ata forms, and abstract structural hierarchy based on is-a relationship and has-a relationship. Object structures illustrate many kinds of objects and actual dependence among objec...
Yasuo Kudo, Tetsuya Murai
ASIAMS
2007
IEEE
14 years 3 days 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