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The correlation problem in sensor fusion in a possibilistic framework

https://doi.org/10.1002/int.1059
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-7908-1889-5_9openalex-snapshot
From Semantic to Syntactic Approaches to Information Combination in Possibilistic Logic
inferredcites →https://doi.org/10.1007/978-94-015-7887-5openalex-snapshot
Fuzzy Sets in Information Retrieval and Cluster Analysis
inferredcites →https://doi.org/10.1007/978-94-017-1648-2openalex-snapshot
Fuzzy Preference Modelling and Multicriteria Decision Support
inferredcites →https://doi.org/10.1016/0020-0255(86)90035-6openalex-snapshot
Weighted minimum and maximum operations in fuzzy set theory
inferredcites →https://doi.org/10.1016/0165-4896(95)00781-gopenalex-snapshot
Structure of transitive valued binary relations
inferredcites →https://doi.org/10.1016/0377-2217(90)90393-popenalex-snapshot
Fuzzy sets in information retrieval and cluster analysis
inferredcites →https://doi.org/10.1109/69.273026openalex-snapshot
Automated reasoning using possibilistic logic: semantics, belief revision, and variable certainty weights
inferredcites →https://doi.org/10.1109/fuzzy.1998.687603openalex-snapshot
Logical analysis of fuzzy constraint satisfaction problems
inferredcites →https://doi.org/10.1515/9780691214696openalex-snapshot
A Mathematical Theory of Evidence
inferredcites →https://doi.org/10.2307/j.ctv10vm1qbopenalex-snapshot
A Mathematical Theory of Evidence

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/int.1052openalex-snapshot
Fusion: General concepts and characteristics
inferred← citeshttps://doi.org/10.1002/int.1054openalex-snapshot
Data association in multi-target detection using the transferable belief model
inferred← citeshttps://doi.org/10.1002/int.1061openalex-snapshot
Fusion of symbolic knowledge and uncertain information in robotics
inferred← citeshttps://doi.org/10.1002/int.21723openalex-snapshot
Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories
inferred← citeshttps://doi.org/10.1007/978-3-319-11558-0_13openalex-snapshot
Logical Foundations of Possibilistic Keys
inferred← citeshttps://doi.org/10.1007/978-981-287-251-7_64openalex-snapshot
Uncertainty Theories for Real-Time Systems
inferred← citeshttps://doi.org/10.1007/978-981-4585-87-3_64-1openalex-snapshot
Uncertainty Theories for Real-Time Systems
inferred← citeshttps://doi.org/10.1016/b978-0-444-51624-4.50007-1openalex-snapshot
Possibilistic Logic — An Overview
inferred← citeshttps://doi.org/10.1016/j.inffus.2003.12.002openalex-snapshot
Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory
inferred← citeshttps://doi.org/10.1109/icif.2002.1020909openalex-snapshot
Robust report level cluster-to-track fusion
inferred← citeshttps://doi.org/10.1109/isspa.2012.6310435openalex-snapshot
Object-to-track association in a multisensor fusion system under the TBM framework
inferred← citeshttps://doi.org/10.21954/ou.ro.000084dcopenalex-snapshot
Fusing Automatically Extracted Annotations for the Semantic Web
inferred← citeshttps://doi.org/10.3390/metrology2020012openalex-snapshot
Designing Possibilistic Information Fusion—The Importance of Associativity, Consistency, and Redundancy
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