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» Rough Sets and Higher Order Vagueness
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RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski
ICIC
2007
Springer
13 years 10 months ago
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
Rough set theory has been considered as a useful tool to deal with inexact, uncertain, or vague knowledge. However, in real-world, most of information systems are based on dominanc...
Wei-Hua Xu, Hong-zhi Yang, Wen-Xiu Zhang
RSKT
2010
Springer
13 years 3 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
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...
Chris Cornelis, Nele Verbiest, Richard Jensen
ECSQARU
2001
Springer
13 years 9 months ago
Reasoning about Knowledge Using Rough Sets
Abstract. In this paper, we first investigate set semantics of propositional logic in terms of rough sets and discuss how truth values of propositions (sentences) can be interpret...
Weiru Liu
IROS
2009
IEEE
150views Robotics» more  IROS 2009»
13 years 11 months ago
Learning locomotion over rough terrain using terrain templates
— We address the problem of foothold selection in robotic legged locomotion over very rough terrain. The difficulty of the problem we address here is comparable to that of human...
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, S...