Vor Ort
Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig vom 07.09.2026 bis 09.09.2026 | Gültig für nicht preisgebundene fremdsprachige Bücher | Einzelne Artikel können ausgeschlossen sein | Online auf www.bücher.de einlösbar | Click & Collect nur mit Online-Zahlung (Paypal/Kreditkarte) vorab | Nicht kombinierbar mit anderen Gutscheinen oder Preisaktionen | Nur einmal pro Einkauf einlösbar | Gutschein wird auf max. 500€ Bestellwert angerechnet | Keine Barauszahlung | Nicht gültig für Versandkosten und Services
  • Produktbild: Symbolic and Quantitative Approaches to Uncertainty
  • Produktbild: Symbolic and Quantitative Approaches to Uncertainty
Band 548

Symbolic and Quantitative Approaches to Uncertainty European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.1991

Abbildungen

XII, 368 p.

Herausgeber

Rudolf Kruse + weitere

Verlag

Springer Berlin

Seitenzahl

368

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

575 g

Auflage

1991

Sprache

Englisch

ISBN

978-3-540-54659-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.1991

Abbildungen

XII, 368 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

368

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

575 g

Auflage

1991

Sprache

Englisch

ISBN

978-3-540-54659-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Symbolic and Quantitative Approaches to Uncertainty
  • Produktbild: Symbolic and Quantitative Approaches to Uncertainty
  • Abduction in labelled deductive systems a conceptual abstract.- Nonmonotonic inference, expectations, and neural networks.- Imprecise quantifiers and conditional probabilities.- Default logics.- Propagation of uncertainty in dependence graphs.- Efficient algorithms for belief functions based on the relationship between belief and probability.- A brief overview of possibilistic logic.- A modal analysis of possibility theory.- An extended logic language for representing belief.- Graded default logics.- Linguistically expressed uncertainty: Its elicitation and use in modular expert systems.- Reasoning with mass distributions and the context model.- Advance prototyping.- The transferable belief model.- Learning with CASTLE.- A New approach to inference under uncertainty for knowledge based systems.- Learning of uncertain classification rules in medical diagnosis.- Assertional default theories.- The reliability of reasoning with unreliable rules and propositions.- Uncertainty in the valuation of risky assets.- Assessment of qualitative judgements for conditional events in expert systems.- Automated reasoning about an uncertain domain.- Using defeasible logic for a window on a probabilistic database: Some preliminary notes.- From data analysis to uncertainty knowledge analysis.- Difference fuzzy relation equations: Studies in dynamical systems.- Towards a logic for a fuzzy logic controller.- Handling active databases with partial inconsistencies.- An extension of the possibility theory in view of the formalization of approximate reasoning.- Probabilistic regions of persistence.- Formalizing pertinence links in inheritance reasoning: Preliminary report.- A hybrid approach for modeling uncertainty in terminological logics.- Fuzzy control research at Siemens Corporate R&D.- Handling partially ordered defaults in TMS.- Computing extensions of default theories.- An evidential reasoning approach to the classification of satellite images.- PRESS—A probabilistic reasoning expert system shell.- Induction of uncertain rules and the sociopathicity property in Dempster-Shafer theory.- Hierarchical default logic.- A logic of imprecise monadic predicates and its relation to the S5-modal fuzzy logic.- Every complex system can be determined by a causal probabilistic network without cycles and every such network determines a Markov field.- Probabilistic default reasoning involving continuous variables.- Revision in propositional calculus.- A constraint-based approach to uncertain and imprecise reasoning. Application to expert systems.- Random closed sets: A unified approach to the representation of imprecision and uncertainty.- Knowledge extraction in trivalued propositional logic.- Using maximum entropy to identify unsafe assumptions in probabilistic expert systems.- On truth and utility.- On commitment and cumulativity in default logics.- A tableau-based characterisation for default logic.- Restraining the proliferation of worlds in probabilistic logic entailments.- Managing uncertainty in environmental analysis: An application to measurement data interpretation.- Handling uncertainty in knowledge-based computer vision.- Probabilistic reasoning with facts and rules in deductive databases.- An entity-relationship approach to the modelling of vagueness in databases.- A preferential model semantics for default logic.- Elementary hyperentailment.