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» Extending Jess to Handle Uncertainty
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MP
2006
110views more  MP 2006»
13 years 7 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski
RULEML
2005
Springer
14 years 1 months ago
Uncertainty and RuleML Rulebases: A Preliminary Report
Abstract. Uncertainty, like imprecision and vagueness, has gained considerable attention the last decade. To this extend we present a preliminary report on extending the Rule Marku...
Giorgos Stoilos, Giorgos B. Stamou, Vassilis Tzouv...
SEMWEB
2007
Springer
14 years 1 months ago
Extending Fuzzy Description Logics with a Possibilistic Layer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....
Fernando Bobillo, Miguel Delgado, Juan Góme...
ICTAI
2007
IEEE
14 years 2 months ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
WSC
1997
13 years 9 months ago
Searching for Important Factors: Sequential Bifurcation under Uncertainty
The problem of searching for important factors in a simulation model is considered when the simulation output is subject to stochastic variation. Bettonvil and Kleijnen (1996) giv...
Russell C. H. Cheng