A novel fuzzy evidential reasoning paradigm for data fusion with applications in image processing

DOI10.1007/S00500-005-0039-1zbMath1141.68612OpenAlexW1977092387MaRDI QIDQ855205

N. E. Zubov

Publication date: 4 January 2007

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-005-0039-1

zbMATH Keywords

Data fusionDempster-Shafer evidence theoryFuzzy evidential reasoningImage classification and segmentation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Generalized probabilities of fuzzy events from fuzzy belief structures
• Inference procedures under uncertainty for the problem-reduction method
• The transferable belief model
• Combining ambiguous evidence with respect to ambiguous a priori knowledge. II: Fuzzy logic
• Generalizing the Dempster-Schafer theory to fuzzy sets
• Interdependence and information loss in multi-sensor systems
• A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory
• Handling possibilistic labels in pattern classification using evidential reasoning.
• Unnamed Item
• Unnamed Item

This page was built for publication: A novel fuzzy evidential reasoning paradigm for data fusion with applications in image processing