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» Rough Sets for Uncertainty Reasoning
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ICCBR
2001
Springer
15 years 1 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
SMI
2003
IEEE
143views Image Analysis» more  SMI 2003»
15 years 2 months ago
Rough Surface Modeling Using Surface Growth
In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
Yootai Kim, Raghu Machiraju, David Thompson
JUCS
2010
176views more  JUCS 2010»
14 years 8 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
DLOG
2010
14 years 7 months ago
On the feasibility of Description Logic knowledge bases with rough concepts and vague instances
Abstract. A usage scenario of bio-ontologies is hypothesis testing, such as finding relationships or new subconcepts in the data linked to the ontology. Whilst validating the hypot...
C. Maria Keet
ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
15 years 4 months ago
Dynamically diverse legged locomotion for rough terrain
— In this video, we demonstrate the effectiveness of a kinodynamic planning strategy that allows a high-impedance quadruped to operate across a variety of rough terrain. At one e...
Katie Byl, Russ Tedrake