Information Processing and Management of Uncertainty in Knowledge-Based Systems 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I /
These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with f...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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Σειρά: | Communications in Computer and Information Science,
442 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Uncertainty and imprecision on the web of data
- Decision support and uncertainty management in agri-environment
- Fuzzy implications
- Clustering
- Fuzzy measures and integrals
- Non-classical logics
- Data analysis
- Real-world applications
- Aggregation
- Probabilistic networks
- Recommendation systems and social networks
- Fuzzy systems
- Fuzzy logic in boolean framework
- Management of uncertainty in social networks
- From different to same, from imitation to analogy
- Soft computing and sensory analysis
- Database systems
- Fuzzy set theory
- Measurement and sensory information
- Aggregation
- Formal methods for vagueness and uncertainty in a many-valued realm
- Graduality
- Preferences
- Uncertainty management in machine learning
- Philosophy and history of soft computing
- Soft computing and sensory analysis
- Similarity analysis
- Fuzzy logic, formal concept analysis and rough set
- Intelligent databases and information systems
- Theory of evidence
- Aggregation functions
- Big data - the role of fuzzy methods
- Imprecise probabilities: from foundations to applications
- Multinomial logistic regression on Markov chains for crop rotation modelling
- Intelligent measurement and control for nonlinear systems.