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INFORMATICALT
2008
162views more  INFORMATICALT 2008»
13 years 7 months ago
Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model
Abstract. The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision ...
Karan Singh, Samajh Singh Thakur, Mangi Lal
ISCI
2008
137views more  ISCI 2008»
13 years 7 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
URBAN
2008
128views more  URBAN 2008»
13 years 7 months ago
Discerning landslide susceptibility using rough sets
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
Pece V. Gorsevski, Piotr Jankowski
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
14 years 1 months ago
Rough Approximations under Level Fuzzy Sets
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
W.-N. Liu, Jingtao Yao, Yiyu Yao