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RULEML
2005
Springer

Uncertainty and RuleML Rulebases: A Preliminary Report

12 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 Markup Language (RuleML) with fuzzy set theory, in order to be able to represent and handle vague knowledge. We also provide semantics for the case of fuzzy FOL RuleML.
Giorgos Stoilos, Giorgos B. Stamou, Vassilis Tzouv
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RULEML
Authors Giorgos Stoilos, Giorgos B. Stamou, Vassilis Tzouvaras, Jeff Z. Pan
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