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» Rough Sets for Uncertainty Reasoning
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IEEEICCI
2005
IEEE
15 years 3 months ago
Theoretical study on a new information entropy and its use in attribute reduction
The positive region in rough set framework and Shannon conditional entropy are two traditional uncertainty measurements, used usually as heuristic metrics in attribute reduction. ...
Ping Luo, Qing He, Zhongzhi Shi
SEMWEB
2005
Springer
15 years 3 months ago
Statistical Reasoning - A Foundation for Semantic Web Reasoning
There has been considerable debate as to the merits and the applicability of probabilistic or statistical reasoning to Semantic Web. Much of this debate seems to have centered on ...
Shashi Kant, Evangelos Mamas
IJAR
2008
108views more  IJAR 2008»
14 years 9 months ago
Extending uncertainty formalisms to linear constraints and other complex formalisms
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying AI uncertainty formalis...
Nic Wilson
HIS
2003
14 years 11 months ago
On a Set Theory With Uncertain Membership Relations
We logically model uncertainty by expanding language without changing logical reasoning rules. We expand the language of set theory by adding new predicate symbols, uncertain membe...
Shunsuke Yatabe, Yuzuru Kakuda, Makoto Kikuchi
ACSAC
2009
IEEE
15 years 4 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...