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ECSQARU
2005
Springer
14 years 2 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
CLIMA
2006
13 years 10 months ago
Adding Evolving Abilities to a Multi-Agent System
This paper reports on a fertile marriage between madAgents, a Java and Prolog based multi-agent platform, and EVOLP, a logic programming based language to represent and reason abou...
João Leite, Luís Soares
OWLED
2007
13 years 10 months ago
Extending Fuzzy Description Logics for the Semantic Web
Fuzzy Description Logics (Fuzzy DLs) and fuzzy OWL have been proposed as languages able to represent and reason about imprecise and vague knowledge. Such extensions have gained con...
Giorgos Stoilos, Giorgos B. Stamou
EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
KBSE
2003
IEEE
14 years 2 months ago
Analysis of Inconsistency in Graph-Based Viewpoints: A Category-Theoretic Approach
Eliciting the requirements for a proposed system typically involves different stakeholders with different expertise, responsibilities, and perspectives. Viewpoints-based approache...
Mehrdad Sabetzadeh, Steve M. Easterbrook