182 search results - page 8 / 37 » Decision-Theoretic Rough Set Models |
URBAN
2008
13 years 7 months ago
2008
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 ...
RSKT
2010
Springer
13 years 6 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
ISCI
2008
13 years 7 months ago
2008
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
RSKT
2010
Springer
13 years 6 months ago
2010
Springer
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...
ISMIS
2003
Springer
14 years 22 days ago
2003
Springer
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...