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» Decision-Theoretic Rough Set Models
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ASIAMS
2007
IEEE
14 years 1 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
DAM
2008
125views more  DAM 2008»
13 years 7 months ago
Heyting algebras with Boolean operators for rough sets and information retrieval applications
This paper presents an algebraic formalism for reasoning on finite increasing sequences over Boolean algebras in general and on generalizations of Rough Set concepts in particular...
Eric SanJuan
VIS
2004
IEEE
143views Visualization» more  VIS 2004»
14 years 8 months ago
Rough Interface Reconstruction Using the Level Set Method
We present a new level set method for reconstructing interfaces from point aggregations. Although level-set-based methods are advantageous because they can handle complicated topo...
David Thompson, Raghu Machiraju, Yootai Kim
TSMC
2010
13 years 2 months 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
AI
1998
Springer
13 years 7 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga